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Special Interest Group on Natural Language Learning (SIGNLL)

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2015 Proceedings of the Nineteenth Conference on Computational Natural Language Learning
Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task
Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
2014 Proceedings of the Eighteenth Conference on Computational Natural Language Learning
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
2013 Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Proceedings of the Seventeenth Conference on Computational Natural Language Learning
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task
2012 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Joint Conference on EMNLP and CoNLL - Shared Task
2011 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
2010 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
2009 Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
2008 CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning
2007 Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
2006 Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)
2005 Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)
2004 Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004
2003 Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003
2002 COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)
2001 Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)
2000 Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop
1999 EACL 1999: CoNLL-99 Computational Natural Language Learning
1998 New Methods in Language Processing and Computational Natural Language Learning
1997 CoNLL97: Computational Natural Language Learning


  1. Proceedings of the Nineteenth Conference on Computational Natural Language Learning

  2. K15-1 [bib]: Entire Volume
  3. K15-1000 [bib]: Front Matter

  4. K15-1001 [bib]: Artem Sokolov; Stefan Riezler; Shay B. Cohen
    A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
  5. K15-1002 [bib]: Haoruo Peng; Kai-Wei Chang; Dan Roth
    A Joint Framework for Coreference Resolution and Mention Head Detection
  6. K15-1003 [bib]: Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith
    A Supertag-Context Model for Weakly-Supervised CCG Parser Learning
  7. K15-1004 [bib]: Xiaochang Peng; Linfeng Song; Daniel Gildea
    A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing
  8. K15-1005 [bib]: Mohamed Al-Badrashiny; Heba Elfardy; Mona Diab
    AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic
  9. K15-1006 [bib]: Himanshu Sharad Bhatt; Deepali Semwal; Shourya Roy
    An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification
  10. K15-1007 [bib]: Francisco Guzmán; Preslav Nakov; Stephan Vogel
    Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
  11. K15-1008 [bib]: MIN XIAO; Yuhong Guo
    Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing
  12. K15-1009 [bib]: Lizhen Qu; Gabriela Ferraro; Liyuan Zhou; Weiwei Hou; Nathan Schneider; Timothy Baldwin
    Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks
  13. K15-1010 [bib]: Yevgeni Berzak; Roi Reichart; Boris Katz
    Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL
  14. K15-1011 [bib]: Anders Johannsen; Dirk Hovy; Anders Søgaard
    Cross-lingual syntactic variation over age and gender
  15. K15-1012 [bib]: Long Duong; Trevor Cohn; Steven Bird; Paul Cook
    Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
  16. K15-1013 [bib]: Dasha Bogdanova; Cicero dos Santos; Luciano Barbosa; Bianca Zadrozny
    Detecting Semantically Equivalent Questions in Online User Forums
  17. K15-1014 [bib]: Youngsik Kim; Key-Sun Choi
    Entity Linking Korean Text: An Unsupervised Learning Approach using Semantic Relations
  18. K15-1015 [bib]: Majid Yazdani; James Henderson
    Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training
  19. K15-1016 [bib]: Roman Klinger; Philipp Cimiano
    Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis
  20. K15-1017 [bib]: Ryan Cotterell; Thomas Müller; Alexander Fraser; Hinrich Schütze
    Labeled Morphological Segmentation with Semi-Markov Models
  21. K15-1018 [bib]: Vered Shwartz; Omer Levy; Ido Dagan; Jacob Goldberger
    Learning to Exploit Structured Resources for Lexical Inference
  22. K15-1019 [bib]: Rebecka Weegar; Kalle Åström; Pierre Nugues
    Linking Entities Across Images and Text
  23. K15-1020 [bib]: Paul Felt; Eric Ringger; Jordan Boyd-Graber; Kevin Seppi
    Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA
  24. K15-1021 [bib]: Wenpeng Yin; Hinrich Schütze
    Multichannel Variable-Size Convolution for Sentence Classification
  25. K15-1022 [bib]: Michael Wiegand; Josef Ruppenhofer
    Opinion Holder and Target Extraction based on the Induction of Verbal Categories
  26. K15-1023 [bib]: Ian Perera; James Allen
    Quantity, Contrast, and Convention in Cross-Situated Language Comprehension
  27. K15-1024 [bib]: Zeheng Li; Mingrui Chen; LiGuo Huang; Vincent Ng
    Recovering Traceability Links in Requirements Documents
  28. K15-1025 [bib]: Kristina Gulordava; Paola Merlo
    Structural and lexical factors in adjective placement in complex noun phrases across Romance languages
  29. K15-1026 [bib]: Roy Schwartz; Roi Reichart; Ari Rappoport
    Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
  30. K15-1027 [bib]: Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka
    Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
  31. K15-1028 [bib]: Young-Seob Jeong; Zae Myung Kim; Hyun-Woo Do; Chae-Gyun Lim; Ho-Jin Choi
    Temporal Information Extraction from Korean Texts
  32. K15-1029 [bib]: Miguel Ballesteros; Xavier Carreras
    Transition-based Spinal Parsing
  33. K15-1030 [bib]: Shonosuke Ishiwatari; Nobuhiro Kaji; Naoki Yoshinaga; Masashi Toyoda; Masaru Kitsuregawa
    Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs
  34. K15-1031 [bib]: Thang Luong; Michael Kayser; Christopher D. Manning
    Deep Neural Language Models for Machine Translation
  35. K15-1032 [bib]: Todor Mihaylov; Georgi Georgiev; Preslav Nakov
    Finding Opinion Manipulation Trolls in News Community Forums
  36. K15-1033 [bib]: Barbara Plank; Héctor Martínez Alonso; Željko Agić; Danijela Merkler; Anders Søgaard
    Do dependency parsing metrics correlate with human judgments?
  37. K15-1034 [bib]: Anuj Mahajan; sharmistha Jat; Shourya Roy
    Feature Selection for Short Text Classification using Wavelet Packet Transform
  38. K15-1035 [bib]: Jean Maillard; Stephen Clark
    Learning Adjective Meanings with a Tensor-Based Skip-Gram Model
  39. K15-1036 [bib]: Kristina Toutanova; Waleed Ammar; Pallavi Choudhury; Hoifung Poon
    Model Selection for Type-Supervised Learning with Application to POS Tagging
  40. K15-1037 [bib]: Kaveh Taghipour; Hwee Tou Ng
    One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction
  41. K15-1038 [bib]: Maria Barrett; Anders Søgaard
    Reading behavior predicts syntactic categories
  42. Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task

  43. K15-2 [bib]: Entire Volume
  44. K15-2000 [bib]: Front Matter

  45. K15-2001 [bib]: Nianwen Xue; Hwee Tou Ng; Sameer Pradhan; Rashmi Prasad; Christopher Bryant; Attapol Rutherford
    The CoNLL-2015 Shared Task on Shallow Discourse Parsing
  46. K15-2002 [bib]: Jianxiang Wang; Man Lan
    A Refined End-to-End Discourse Parser
  47. K15-2003 [bib]: Evgeny Stepanov; Giuseppe Riccardi; Ali Orkan Bayer
    The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models
  48. K15-2004 [bib]: Fang Kong; Sheng Li; Guodong Zhou
    The SoNLP-DP System in the CoNLL-2015 shared Task
  49. K15-2005 [bib]: Changge Chen; Peilu Wang; Hai Zhao
    Shallow Discourse Parsing Using Constituent Parsing Tree
  50. K15-2006 [bib]: Christian Chiarcos; Niko Schenk
    A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition
  51. K15-2007 [bib]: Sobha Lalitha Devi; Sindhuja Gopalan; Lakshmi S; Pattabhi RK Rao; Vijay Sundar Ram; Malarkodi C.S.
    A Hybrid Discourse Relation Parser in CoNLL 2015
  52. K15-2008 [bib]: Majid Laali; Elnaz Davoodi; Leila Kosseim
    The CLaC Discourse Parser at CoNLL-2015
  53. K15-2009 [bib]: Shubham Mukherjee; Abhishek Tiwari; Mohit Gupta; Anil Kumar Singh
    Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features
  54. K15-2010 [bib]: Son Nguyen; Quoc Ho; Minh Nguyen
    JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts
  55. K15-2011 [bib]: Tsuyoshi Okita; Longyue Wang; Qun Liu
    The DCU Discourse Parser: A Sense Classification Task
  56. K15-2012 [bib]: Yangqiu Song; Haoruo Peng; Parisa Kordjamshidi; Mark Sammons; Dan Roth
    Improving a Pipeline Architecture for Shallow Discourse Parsing
  57. K15-2013 [bib]: Jia Sun; Peijia Li; Weiqun Xu; Yonghong Yan
    A Shallow Discourse Parsing System Based On Maximum Entropy Model
  58. K15-2014 [bib]: Longyue Wang; Chris Hokamp; Tsuyoshi Okita; Xiaojun Zhang; Qun Liu
    The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification
  59. K15-2015 [bib]: Yasuhisa Yoshida; Katsuhiko Hayashi; Tsutomu Hirao; Masaaki Nagata
    Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015
  60. Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning

  61. W15-24 [bib]: Entire Volume
  62. W15-2400 [bib]: Front Matter

  63. W15-2401 [bib]: Maria Barrett; Anders Søgaard
    Using reading behavior to predict grammatical functions
  64. W15-2402 [bib]: Sigrid Klerke; Sheila Castilho; Maria Barrett; Anders Søgaard
    Reading metrics for estimating task efficiency with MT output
  65. W15-2403 [bib]: Thang Luong; Timothy O'Donnell; Noah Goodman
    Evaluating Models of Computation and Storage in Human Sentence Processing
  66. W15-2404 [bib]: Jelke Bloem; Arjen Versloot; Fred Weerman
    An agent-based model of a historical word order change
  67. W15-2405 [bib]: Robert Grimm; Giovanni Cassani; Walter Daelemans; Steven Gillis
    Towards a Model of Prediction-based Syntactic Category Acquisition: First Steps with Word Embeddings
  68. W15-2406 [bib]: Giovanni Cassani; Robert Grimm; Walter Daelemans; Steven Gillis
    Which distributional cues help the most? Unsupervised contexts selection for lexical category acquisition
  69. W15-2407 [bib]: Miquel Cornudella; Thierry Poibeau
    Language Emergence in a Population of Artificial Agents Equipped with the Autotelic Principle
  70. W15-2408 [bib]: Pablo Faria
    A Computational Study of Cross-situational Lexical Learning of Brazilian Portuguese
  71. W15-2409 [bib]: Çağrı Çöltekin
    Units in segmentation: a computational investigation
  72. W15-2410 [bib]: Aleksandrs Berdicevskis
    Estimating Grammeme Redundancy by Measuring Their Importance for Syntactic Parser Performance
  73. W15-2411 [bib]: Thomas Brochhagen
    Improving Coordination on Novel Meaning through Context and Semantic Structure
  74. W15-2412 [bib]: Barend Beekhuizen; Suzanne Stevenson
    Perceptual, conceptual, and frequency effects on error patterns in English color term acquisition
  75. W15-2413 [bib]: Bogdan Ludusan; Amanda Seidl; Emmanuel Dupoux; Alex Cristia
    Motif discovery in infant- and adult-directed speech
  76. W15-2414 [bib]: Antal van den Bosch; Joan Bresnan
    Modeling dative alternations of individual children
  77. Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  78. W15-29 [bib]: Entire Volume
  79. W15-2900 [bib]: Front Matter

  80. W15-2901 [bib]: Zornitsa Kozareva
    Multilingual Affect Polarity and Valence Prediction in Metaphors
  81. W15-2902 [bib] [attachment]: David Vilares; Miguel A. Alonso; Carlos Gómez-Rodríguez
    Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
  82. W15-2903 [bib]: Marine Carpuat
    Connotation in Translation
  83. W15-2904 [bib]: Soroush Vosoughi; Helen Zhou; deb roy
    Enhanced Twitter Sentiment Classification Using Contextual Information
  84. W15-2905 [bib]: Anupam Khattri; Aditya Joshi; Pushpak Bhattacharyya; Mark Carman
    Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
  85. W15-2906 [bib]: Thomas Kober; David Weir
    Optimising Agile Social Media Analysis
  86. W15-2907 [bib]: Takaaki Tsunoda; Takashi Inui; Satoshi Sekine
    Utilizing review analysis to suggest product advertisement improvements
  87. W15-2908 [bib] [attachment]: Wiltrud Kessler; Roman Klinger; Jonas Kuhn
    Towards Opinion Mining from Reviews for the Prediction of Product Rankings
  88. W15-2909 [bib]: Leticia Cagnina; Paolo Rosso
    Classification of deceptive opinions using a low dimensionality representation
  89. W15-2910 [bib]: Josef Ruppenhofer; Jasper Brandes
    Extending effect annotation with lexical decomposition
  90. W15-2911 [bib]: Lucie Flekova; Daniel Preoţiuc-Pietro; Eugen Ruppert
    Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
  91. W15-2912 [bib]: Saif Mohammad
    Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus
  92. W15-2913 [bib]: Barbara Plank; Dirk Hovy
    Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week
  93. W15-2914 [bib]: Johan Reitan; Jørgen Faret; Björn Gambäck; Lars Bungum
    Negation Scope Detection for Twitter Sentiment Analysis
  94. W15-2915 [bib]: Sebastian Ebert; Ngoc Thang Vu; Hinrich Schütze
    A Linguistically Informed Convolutional Neural Network
  95. W15-2916 [bib]: Chiraag Sumanth; Diana Inkpen
    How much does word sense disambiguation help in sentiment analysis of micropost data?
  96. W15-2917 [bib]: Wernard Schmit; Sander Wubben
    Predicting Ratings for New Movie Releases from Twitter Content
  97. W15-2918 [bib]: Márton Miháltz; Tamás Váradi; István Csertő; Éva Fülöp; Tibor Pólya; Pál Kővágó
    Beyond Sentiment: Social Psychological Analysis of Political Facebook Comments in Hungary
  98. W15-2919 [bib]: Manfred Klenner
    Verb-centered Sentiment Inference with Description Logics
  99. W15-2920 [bib]: Priyanka Sinha; Lipika Dey; Pabitra Mitra; Anupam Basu
    Mining HEXACO personality traits from Enterprise Social Media
  100. W15-2921 [bib]: Michael Wiegand; Marc Schulder; Josef Ruppenhofer
    Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
  101. W15-2922 [bib]: Umar Maqsud
    Synthetic Text Generation for Sentiment Analysis
  102. W15-2923 [bib]: Maria Skeppstedt; Teri Schamp-Bjerede; Magnus Sahlgren; Carita Paradis; Andreas Kerren
    Detecting speculations, contrasts and conditionals in consumer reviews
  103. W15-2924 [bib]: Credell Simeon; Robert Hilderman
    Using Combined Lexical Resources to Identify Hashtag Types
  104. W15-2925 [bib]: Phillip Smith; Mark Lee
    Sentiment Classification via a Response Recalibration Framework


  1. Proceedings of the Eighteenth Conference on Computational Natural Language Learning

  2. W14-16 [bib]: Entire Volume
  3. W14-1600 [bib]: Front Matter

  4. W14-1601 [bib]: Anders Søgaard; Anders Johannsen; Barbara Plank; Dirk Hovy; Héctor Martínez Alonso
    What's in a p-value in NLP?
  5. W14-1602 [bib]: Rebecca Mason; Eugene Charniak
    Domain-Specific Image Captioning
  6. W14-1603 [bib]: Yevgeni Berzak; Roi Reichart; Boris Katz
    Reconstructing Native Language Typology from Foreign Language Usage
  7. W14-1604 [bib]: Mohamed Al-Badrashiny; Ramy Eskander; Nizar Habash; Owen Rambow
    Automatic Transliteration of Romanized Dialectal Arabic
  8. W14-1605 [bib]: Gianni Barlacchi; Massimo Nicosia; Alessandro Moschitti
    Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles
  9. W14-1606 [bib]: Ashutosh Modi; Ivan Titov
    Inducing Neural Models of Script Knowledge
  10. W14-1607 [bib]: Jacob Andreas; Dan Klein
    Grounding Language with Points and Paths in Continuous Spaces
  11. W14-1608 [bib]: Marek Rei; Ted Briscoe
    Looking for Hyponyms in Vector Space
  12. W14-1609 [bib]: Alexandre Passos; Vineet Kumar; Andrew McCallum
    Lexicon Infused Phrase Embeddings for Named Entity Resolution
  13. W14-1610 [bib]: Omer Levy; Ido Dagan; Jacob Goldberger
    Focused Entailment Graphs for Open IE Propositions
  14. W14-1611 [bib]: Sonal Gupta; Christopher Manning
    Improved Pattern Learning for Bootstrapped Entity Extraction
  15. W14-1612 [bib]: Avirup Sil; Silviu-Petru Cucerzan
    Towards Temporal Scoping of Relational Facts based on Wikipedia Data
  16. W14-1613 [bib]: Min Xiao; Yuhong Guo
    Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
  17. W14-1614 [bib]: Jörg Tiedemann; Željko Agić; Joakim Nivre
    Treebank Translation for Cross-Lingual Parser Induction
  18. W14-1615 [bib]: Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith
    Weakly-Supervised Bayesian Learning of a CCG Supertagger
  19. W14-1616 [bib]: Yang Feng; Trevor Cohn; Xinkai Du
    Factored Markov Translation with Robust Modeling
  20. W14-1617 [bib]: Ann Irvine; Chris Callison-Burch
    Hallucinating Phrase Translations for Low Resource MT
  21. W14-1618 [bib]: Omer Levy; Yoav Goldberg
    Linguistic Regularities in Sparse and Explicit Word Representations
  22. W14-1619 [bib]: Oren Melamud; Ido Dagan; Jacob Goldberger; Idan Szpektor; Deniz Yuret
    Probabilistic Modeling of Joint-context in Distributional Similarity
  23. W14-1620 [bib]: Abdellah Fourtassi; Emmanuel Dupoux
    A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition
  24. Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task

  25. W14-17 [bib]: Entire Volume
  26. W14-1700 [bib]: Front Matter

  27. W14-1701 [bib]: Hwee Tou Ng; Siew Mei Wu; Ted Briscoe; Christian Hadiwinoto; Raymond Hendy Susanto; Christopher Bryant
    The CoNLL-2014 Shared Task on Grammatical Error Correction
  28. W14-1702 [bib]: Mariano Felice; Zheng Yuan; Øistein E. Andersen; Helen Yannakoudakis; Ekaterina Kochmar
    Grammatical error correction using hybrid systems and type filtering
  29. W14-1703 [bib]: Marcin Junczys-Dowmunt; Roman Grundkiewicz
    The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation
  30. W14-1704 [bib]: Alla Rozovskaya; Kai-Wei Chang; Mark Sammons; Dan Roth; Nizar Habash
    The Illinois-Columbia System in the CoNLL-2014 Shared Task
  31. W14-1705 [bib]: Tiberiu Boroş; Stefan Daniel Dumitrescu; Adrian Zafiu; Verginica Barbu Mititelu; Ionut Paul Vaduva
    RACAI GEC – A hybrid approach to Grammatical Error Correction
  32. W14-1706 [bib]: Anubhav Gupta
    Grammatical Error Detection Using Tagger Disagreement
  33. W14-1707 [bib]: S. David Hdez.; Hiram Calvo
    CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora
  34. W14-1708 [bib]: Anoop Kunchukuttan; Sriram Chaudhury; Pushpak Bhattacharyya
    Tuning a Grammar Correction System for Increased Precision
  35. W14-1709 [bib]: Kyusong Lee; Gary Geunbae Lee
    POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task
  36. W14-1710 [bib]: Peilu Wang; Zhongye Jia; Hai Zhao
    Grammatical Error Detection and Correction using a Single Maximum Entropy Model
  37. W14-1711 [bib]: Yiming Wang; Longyue Wang; Xiaodong Zeng; Derek F. Wong; Lidia S. Chao; Yi Lu
    Factored Statistical Machine Translation for Grammatical Error Correction
  38. W14-1712 [bib]: Jian-Cheng Wu; Tzu-Hsi Yen; Jim Chang; Guan-Cheng Huang; Jimmy Chang; Hsiang-Ling Hsu; Yu-Wei Chang; Jason S. Chang
    NTHU at the CoNLL-2014 Shared Task
  39. W14-1713 [bib]: Longkai Zhang; Houfeng WANG
    A Unified Framework for Grammar Error Correction
  40. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  41. W14-26 [bib]: Entire Volume
  42. W14-2600 [bib]: Front Matter

  43. W14-2601 [bib]: Saif Mohammad
    Words: Evaluative, Emotional, Colourful, Musical!
  44. W14-2602 [bib]: Jakob Elming; Barbara Plank; Dirk Hovy
    Robust Cross-Domain Sentiment Analysis for Low-Resource Languages
  45. W14-2603 [bib]: Lingjia Deng; Janyce Wiebe
    An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar !
  46. W14-2604 [bib]: Manfred Klenner; Michael Amsler; Nora Hollenstein
    Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives
  47. W14-2605 [bib]: Josef Steinberger; Tomáš Brychcín; Michal Konkol
    Aspect-Level Sentiment Analysis in Czech
  48. W14-2606 [bib]: Myle Ott
    Linguistic Models of Deceptive Opinion Spam
  49. W14-2607 [bib]: Saif Mohammad; Xiaodan Zhu; Joel Martin
    Semantic Role Labeling of Emotions in Tweets
  50. W14-2608 [bib]: Konstantin Buschmeier; Philipp Cimiano; Roman Klinger
    An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews
  51. W14-2609 [bib]: Francesco Barbieri; Horacio Saggion; Francesco Ronzano
    Modelling Sarcasm in Twitter, a Novel Approach
  52. W14-2610 [bib]: Michal Ptaszynski; Fumito Masui; Rafal Rzepka; Kenji Araki
    Emotive or Non-emotive: That is The Question
  53. W14-2611 [bib]: Alexandra Balahur; Hristo Tanev; Erik van der Goot
    Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining
  54. W14-2612 [bib]: Ilia Chetviorkin; Natalia Loukachevitch
    Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams
  55. W14-2613 [bib]: Gerard Lynch; Pádraig Cunningham
    Linguistically Informed Tweet Categorization for Online Reputation Management
  56. W14-2614 [bib]: Yoon Kim; Owen Zhang
    Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification
  57. W14-2615 [bib]: Tatiana Gasanova; Roman Sergienko; Shakhnaz Akhmedova; Eugene Semenkin; Wolfgang Minker
    Opinion Mining and Topic Categorization with Novel Term Weighting
  58. W14-2616 [bib]: Hugo Lewi Hammer; Per Erik Solberg; Lilja Øvrelid
    Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method
  59. W14-2617 [bib]: Lu Wang; Claire Cardie
    Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon
  60. W14-2618 [bib]: Yoonjung Choi; Lingjia Deng; Janyce Wiebe
    Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events
  61. W14-2619 [bib]: Nikhilkumar Jadhav; Pushpak Bhattacharyya
    Dive deeper: Deep Semantics for Sentiment Analysis
  62. W14-2620 [bib]: Siavash Kazemian; Shunan Zhao; Gerald Penn
    Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading
  63. W14-2621 [bib]: Dai Quoc Nguyen; Dat Quoc Nguyen; Thanh Vu; Son Bao Pham
    Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features
  64. W14-2622 [bib]: Itir Onal; Ali Mert Ertugrul; Ruken Cakici
    Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data
  65. W14-2623 [bib]: Abhijit Mishra; Aditya Joshi; Pushpak Bhattacharyya
    A cognitive study of subjectivity extraction in sentiment annotation
  66. W14-2624 [bib]: Wanting Mao; Lu Xiao; Robert Mercer
    The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations
  67. W14-2625 [bib]: Janyce Wiebe; Lingjia Deng
    A Conceptual Framework for Inferring Implicatures


  1. Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  2. W13-16 [bib]: Entire Volume
  3. W13-1600 [bib]: Front Matter

  4. W13-1601 [bib]: Rosalind Picard
    Recent adventures with emotion-reading technology
  5. W13-1602 [bib]: Ashequl Qadir; Ellen Riloff
    Bootstrapped Learning of Emotion Hashtags #hashtags4you
  6. W13-1603 [bib]: Valentina Sintsova; Claudiu Musat; Pearl Pu
    Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation
  7. W13-1604 [bib]: Matías Dell' Amerlina Ríos; Agustin Gravano
    Spanish DAL: A Spanish Dictionary of Affect in Language
  8. W13-1605 [bib]: Christine Liebrecht; Florian Kunneman; Antal Van den Bosch
    The perfect solution for detecting sarcasm in tweets #not
  9. W13-1606 [bib]: Donato Hernández; Rafael Guzmán; Manuel Móntes y Gomez; Paolo Rosso
    Using PU-Learning to Detect Deceptive Opinion Spam
  10. W13-1607 [bib]: Hugo Jair Escalante; Esaú Villatoro-Tello; Antonio Juárez; Manuel Montes-y-Gómez; Luis Villaseñor
    Sexual predator detection in chats with chained classifiers
  11. W13-1608 [bib]: Ahmed Mourad; Kareem Darwish
    Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs
  12. W13-1609 [bib]: Ivan Habernal; Tomáš Ptáček; Josef Steinberger
    Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
  13. W13-1610 [bib]: Narendra Gupta
    Tagging Opinion Phrases and their Targets in User Generated Textual Reviews
  14. W13-1611 [bib]: Wladimir Sidorenko; Jonathan Sonntag; Nina Krüger; Stefan Stieglitz; Manfred Stede
    From newspaper to microblogging: What does it take to find opinions?
  15. W13-1612 [bib]: Eugenio Martínez-Cámara; M. Teresa Martín-Valdivia; M. Dolores Molina-González; L. Alfonso Ureña-López
    Bilingual Experiments on an Opinion Comparable Corpus
  16. W13-1613 [bib]: Yoan Gutiérrez; Andy González; Antonio Fernández; Andrés Montoyo; Rafael Muñoz
    RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora
  17. W13-1614 [bib]: Valerio Basile; malvina nissim
    Sentiment analysis on Italian tweets
  18. W13-1615 [bib]: Samir Rustamov; Elshan Mustafayev; Mark Clements
    Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Models
  19. W13-1616 [bib]: Basant Agarwal; Namita Mittal
    Sentiment Classification using Rough Set based Hybrid Feature Selection
  20. W13-1617 [bib]: Alexandra Balahur
    Sentiment Analysis in Social Media Texts
  21. Proceedings of the Seventeenth Conference on Computational Natural Language Learning

  22. W13-35 [bib]: Entire Volume
  23. W13-3500 [bib]: Front Matter

  24. W13-3501 [bib]: Min Xiao; Yuhong Guo
    Online Active Learning for Cost Sensitive Domain Adaptation
  25. W13-3502 [bib]: Michael Bloodgood; John Grothendieck
    Analysis of Stopping Active Learning based on Stabilizing Predictions
  26. W13-3503 [bib]: Om Damani
    Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrence
  27. W13-3504 [bib]: Teemu Ruokolainen; Oskar Kohonen; Sami Virpioja; Mikko Kurimo
    Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
  28. W13-3505 [bib]: Luheng He; Jennifer Gillenwater; Ben Taskar
    Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
  29. W13-3506 [bib]: Tomoya Iwakura
    A Boosted Semi-Markov Perceptron
  30. W13-3507 [bib]: Karl Stratos; Alexander Rush; Shay B. Cohen; Michael Collins
    Spectral Learning of Refinement HMMs
  31. W13-3508 [bib]: Kapil Thadani; Kathleen McKeown
    Sentence Compression with Joint Structural Inference
  32. W13-3509 [bib]: Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti
    Learning Adaptable Patterns for Passage Reranking
  33. W13-3510 [bib]: Alona Fyshe; Brian Murphy; Partha Talukdar; Tom Mitchell
    Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
  34. W13-3511 [bib]: Edouard Grave; Guillaume Obozinski; Francis Bach
    Hidden Markov tree models for semantic class induction
  35. W13-3512 [bib]: Thang Luong; Richard Socher; Christopher Manning
    Better Word Representations with Recursive Neural Networks for Morphology
  36. W13-3513 [bib]: Dimitri Kartsaklis; Mehrnoosh Sadrzadeh; Stephen Pulman
    Separating Disambiguation from Composition in Distributional Semantics
  37. W13-3514 [bib]: Kazi Saidul Hasan; Vincent Ng
    Frame Semantics for Stance Classification
  38. W13-3515 [bib]: Gabor Angeli; Christopher Manning
    Philosophers are Mortal: Inferring the Truth of Unseen Facts
  39. W13-3516 [bib]: Sameer Pradhan; Alessandro Moschitti; Nianwen Xue; Hwee Tou Ng; Anders Björkelund; Olga Uryupina; Yuchen Zhang; Zhi Zhong
    Towards Robust Linguistic Analysis using OntoNotes
  40. W13-3517 [bib]: Jiaping Zheng; Luke Vilnis; Sameer Singh; Jinho D. Choi; Andrew McCallum
    Dynamic Knowledge-Base Alignment for Coreference Resolution
  41. W13-3518 [bib]: Matthew Honnibal; Yoav Goldberg; Mark Johnson
    A Non-Monotonic Arc-Eager Transition System for Dependency Parsing
  42. W13-3519 [bib]: Pengyu Wang; Phil Blunsom
    Collapsed Variational Bayesian Inference for PCFGs
  43. W13-3520 [bib]: Rami Al-Rfou; Bryan Perozzi; Steven Skiena
    Polyglot: Distributed Word Representations for Multilingual NLP
  44. W13-3521 [bib]: Marcos Calvo; Fernando García; Lluís-F. Hurtado; Santiago Jiménez; Emilio Sanchis
    Exploiting multiple hypotheses for Multilingual Spoken Language Understanding
  45. W13-3522 [bib]: Wilker Aziz; Lucia Specia
    Multilingual WSD-like Constraints for Paraphrase Extraction
  46. W13-3523 [bib]: Xiaodong Liu; Kevin Duh; Yuji Matsumoto
    Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus
  47. W13-3524 [bib]: Jürgen Broß; Heiko Ehrig
    Terminology Extraction Approaches for Product Aspect Detection in Customer Reviews
  48. W13-3525 [bib]: Libby Barak; Afsaneh Fazly; Suzanne Stevenson
    Acquisition of Desires before Beliefs: A Computional Investigation
  49. Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task

  50. W13-36 [bib]: Entire Volume
  51. W13-3600 [bib]: Front Matter

  52. W13-3601 [bib]: Hwee Tou Ng; Siew Mei Wu; Yuanbin Wu; Christian Hadiwinoto; Joel Tetreault
    The CoNLL-2013 Shared Task on Grammatical Error Correction
  53. W13-3602 [bib]: Alla Rozovskaya; Kai-Wei Chang; Mark Sammons; Dan Roth
    The University of Illinois System in the CoNLL-2013 Shared Task
  54. W13-3603 [bib]: Ting-hui Kao; Yu-wei Chang; Hsun-wen Chiu; Tzu-Hsi Yen; Joanne Boisson; Jian-cheng Wu; Jason S. Chang
    CoNLL-2013 Shared Task: Grammatical Error Correction NTHU System Description
  55. W13-3604 [bib]: Ippei Yoshimoto; Tomoya Kose; Kensuke Mitsuzawa; Keisuke Sakaguchi; Tomoya Mizumoto; Yuta Hayashibe; Mamoru Komachi; Yuji Matsumoto
    NAIST at 2013 CoNLL Grammatical Error Correction Shared Task
  56. W13-3605 [bib]: Junwen Xing; Longyue Wang; Derek F. Wong; Lidia S. Chao; Xiaodong Zeng
    UM-Checker: A Hybrid System for English Grammatical Error Correction
  57. W13-3606 [bib]: Jan Buys; Brink van der Merwe
    A Tree Transducer Model for Grammatical Error Correction
  58. W13-3607 [bib]: Zheng Yuan; Mariano Felice
    Constrained Grammatical Error Correction using Statistical Machine Translation
  59. W13-3608 [bib]: Gabor Berend; Veronika Vincze; Sina Zarrieß; Richárd Farkas
    LFG-based Features for Noun Number and Article Grammatical Errors
  60. W13-3609 [bib]: Dan Flickinger; Jiye Yu
    Toward More Precision in Correction of Grammatical Errors
  61. W13-3610 [bib]: Zhongye Jia; Peilu Wang; Hai Zhao
    Grammatical Error Correction as Multiclass Classification with Single Model
  62. W13-3611 [bib]: Anoop Kunchukuttan; Ritesh Shah; Pushpak Bhattacharyya
    IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction
  63. W13-3612 [bib]: Desmond Darma Putra; Lili Szabo
    UdS at CoNLL 2013 Shared Task
  64. W13-3613 [bib]: Grigori Sidorov; Anubhav Gupta; Martin Tozer; Dolors Catala; Angels Catena; Sandrine Fuentes
    Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2)
  65. W13-3614 [bib]: Antal van den Bosch; Peter Berck
    Memory-based Grammatical Error Correction
  66. W13-3615 [bib]: L. Amber Wilcox-O’Hearn
    A Noisy Channel Model Framework for Grammatical Correction
  67. W13-3616 [bib]: Yang Xiang; Bo Yuan; Yaoyun Zhang; Xiaolong Wang; Wen Zheng; Chongqiang Wei
    A Hybrid Model For Grammatical Error Correction
  68. W13-3617 [bib]: Bong-Jun Yi; Ho-Chang Lee; Hae-Chang Rim
    KUNLP Grammatical Error Correction System For CoNLL-2013 Shared Task


  1. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

  2. D12-1 [bib]: Entire Volume
  3. D12-1000 [bib]: Front Matter

  4. D12-1001 [bib]: Greg Durrett; Adam Pauls; Dan Klein
    Syntactic Transfer Using a Bilingual Lexicon
  5. D12-1002 [bib]: Jagadeesh Jagarlamudi; Hal Daume III
    Regularized Interlingual Projections: Evaluation on Multilingual Transliteration
  6. D12-1003 [bib]: Akihiro Tamura; Taro Watanabe; Eiichiro Sumita
    Bilingual Lexicon Extraction from Comparable Corpora Using Label Propagation
  7. D12-1004 [bib]: Kai Hong; Christian G. Kohler; Mary E. March; Amber A. Parker; Ani Nenkova
    Lexical Differences in Autobiographical Narratives from Schizophrenic Patients and Healthy Controls
  8. D12-1005 [bib]: Benjamin Van Durme
    Streaming Analysis of Discourse Participants
  9. D12-1006 [bib]: Ahmed Hassan; Amjad Abu-Jbara; Dragomir Radev
    Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants
  10. D12-1007 [bib]: Aciel Eshky; Ben Allison; Mark Steedman
    Generative Goal-Driven User Simulation for Dialog Management
  11. D12-1008 [bib]: Nina Dethlefs; Helen Hastie; Verena Rieser; Oliver Lemon
    Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems
  12. D12-1009 [bib]: Michael J. Paul
    Mixed Membership Markov Models for Unsupervised Conversation Modeling
  13. D12-1010 [bib]: Xianpei Han; Le Sun
    An Entity-Topic Model for Entity Linking
  14. D12-1011 [bib]: Avirup Sil; Ernest Cronin; Penghai Nie; Yinfei Yang; Ana-Maria Popescu; Alexander Yates
    Linking Named Entities to Any Database
  15. D12-1012 [bib]: Ajay Nagesh; Ganesh Ramakrishnan; Laura Chiticariu; Rajasekar Krishnamurthy; Ankush Dharkar; Pushpak Bhattacharyya
    Towards Efficient Named-Entity Rule Induction for Customizability
  16. D12-1013 [bib]: Shoushan Li; Shengfeng Ju; Guodong Zhou; Xiaojun Li
    Active Learning for Imbalanced Sentiment Classification
  17. D12-1014 [bib]: Lizhen Qu; Rainer Gemulla; Gerhard Weikum
    A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts
  18. D12-1015 [bib]: Yanyan Zhao; Bing Qin; Ting Liu
    Collocation Polarity Disambiguation Using Web-based Pseudo Contexts
  19. D12-1016 [bib]: Michael Roth; Anette Frank
    Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering
  20. D12-1017 [bib]: Vivi Nastase; Alex Judea; Katja Markert; Michael Strube
    Local and Global Context for Supervised and Unsupervised Metonymy Resolution
  21. D12-1018 [bib]: Hila Weisman; Jonathan Berant; Idan Szpektor; Ido Dagan
    Learning Verb Inference Rules from Linguistically-Motivated Evidence
  22. D12-1019 [bib]: Paramveer Dhillon; Jordan Rodu; Michael Collins; Dean Foster; Lyle Ungar
    Spectral Dependency Parsing with Latent Variables
  23. D12-1020 [bib]: Robert Lindsey; William Headden; Michael Stipicevic
    A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes
  24. D12-1021 [bib]: Abby Levenberg; Chris Dyer; Phil Blunsom
    A Bayesian Model for Learning SCFGs with Discontiguous Rules
  25. D12-1022 [bib]: Kristian Woodsend; Mirella Lapata
    Multiple Aspect Summarization Using Integer Linear Programming
  26. D12-1023 [bib]: Michael White; Rajakrishnan Rajkumar
    Minimal Dependency Length in Realization Ranking
  27. D12-1024 [bib]: Seonggi Ryang; Takeshi Abekawa
    Framework of Automatic Text Summarization Using Reinforcement Learning
  28. D12-1025 [bib]: Qing Dou; Kevin Knight
    Large Scale Decipherment for Out-of-Domain Machine Translation
  29. D12-1026 [bib]: Zhengxian Gong; Min Zhang; Chew Lim Tan; Guodong Zhou
    N-gram-based Tense Models for Statistical Machine Translation
  30. D12-1027 [bib]: Pidong Wang; Preslav Nakov; Hwee Tou Ng
    Source Language Adaptation for Resource-Poor Machine Translation
  31. D12-1028 [bib]: David Mareček; Zdeněk Žabokrtský
    Exploiting Reducibility in Unsupervised Dependency Parsing
  32. D12-1029 [bib]: Daniel Fernández-González; Carlos Gómez-Rodrìguez
    Improving Transition-Based Dependency Parsing with Buffer Transitions
  33. D12-1030 [bib]: Hao Zhang; Ryan McDonald
    Generalized Higher-Order Dependency Parsing with Cube Pruning
  34. D12-1031 [bib]: Young-Bum Kim; Benjamin Snyder
    Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets
  35. D12-1032 [bib]: Nicholas Andrews; Jason Eisner; Mark Dredze
    Name Phylogeny: A Generative Model of String Variation
  36. D12-1033 [bib]: Vera Demberg; Asad Sayeed; Philip Gorinski; Nikolaos Engonopoulos
    Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
  37. D12-1034 [bib]: Jong-Hoon Oh; Kentaro Torisawa; Chikara Hashimoto; Takuya Kawada; Stijn De Saeger; Jun'ichi Kazama; Yiou Wang
    Why Question Answering using Sentiment Analysis and Word Classes
  38. D12-1035 [bib]: Mohamed Yahya; Klaus Berberich; Shady Elbassuoni; Maya Ramanath; Volker Tresp; Gerhard Weikum
    Natural Language Questions for the Web of Data
  39. D12-1036 [bib]: Jianxing Yu; Zheng-Jun Zha; Tat-Seng Chua
    Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews
  40. D12-1037 [bib]: Lemao Liu; Hailong Cao; Taro Watanabe; Tiejun Zhao; Mo Yu; Conghui Zhu
    Locally Training the Log-Linear Model for SMT
  41. D12-1038 [bib]: Wenbin Jiang; Fandong Meng; Qun Liu; Yajuan Lü
    Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation
  42. D12-1039 [bib]: Bo Han; Paul Cook; Timothy Baldwin
    Automatically Constructing a Normalisation Dictionary for Microblogs
  43. D12-1040 [bib]: Joohyun Kim; Raymond Mooney
    Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
  44. D12-1041 [bib]: Nan Duan; Mu Li; Ming Zhou
    Forced Derivation Tree based Model Training to Statistical Machine Translation
  45. D12-1042 [bib]: Mihai Surdeanu; Julie Tibshirani; Ramesh Nallapati; Christopher D. Manning
    Multi-instance Multi-label Learning for Relation Extraction
  46. D12-1043 [bib]: Thomas François; Cédrick Fairon
    An ``AI readability'' Formula for French as a Foreign Language
  47. D12-1044 [bib]: Emily Pitler; Sampath Kannan; Mitchell Marcus
    Dynamic Programming for Higher Order Parsing of Gap-Minding Trees
  48. D12-1045 [bib]: Heeyoung Lee; Marta Recasens; Angel Chang; Mihai Surdeanu; Dan Jurafsky
    Joint Entity and Event Coreference Resolution across Documents
  49. D12-1046 [bib]: Xian Qian; Yang Liu
    Joint Chinese Word Segmentation, POS Tagging and Parsing
  50. D12-1047 [bib]: Shixiang Lu; Wei Wei; Xiaoyin Fu; Bo Xu
    Translation Model Based Cross-Lingual Language Model Adaptation: from Word Models to Phrase Models
  51. D12-1048 [bib]: Mausam; Michael Schmitz; Stephen Soderland; Robert Bart; Oren Etzioni
    Open Language Learning for Information Extraction
  52. D12-1049 [bib]: Lan Du; Wray Buntine; Huidong Jin
    Modelling Sequential Text with an Adaptive Topic Model
  53. D12-1050 [bib]: William Blacoe; Mirella Lapata
    A Comparison of Vector-based Representations for Semantic Composition
  54. D12-1051 [bib]: Junsheng Zhou; Weiguang Qu; Fen Zhang
    Exploiting Chunk-level Features to Improve Phrase Chunking
  55. D12-1052 [bib]: Daniel Dahlmeier; Hwee Tou Ng
    A Beam-Search Decoder for Grammatical Error Correction
  56. D12-1053 [bib]: Mathias Verbeke; Vincent Van Asch; Roser Morante; Paolo Frasconi; Walter Daelemans; Luc De Raedt
    A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories
  57. D12-1054 [bib]: Rada Mihalcea; Carlo Strapparava
    Lyrics, Music, and Emotions
  58. D12-1055 [bib]: Su-Youn Yoon; Suma Bhat
    Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures
  59. D12-1056 [bib]: Hisami Suzuki; Jianfeng Gao
    A Unified Approach to Transliteration-based Text Input with Online Spelling Correction
  60. D12-1057 [bib]: Chikara Hashimoto; Kentaro Torisawa; Stijn De Saeger; Jong-Hoon Oh; Jun'ichi Kazama
    Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
  61. D12-1058 [bib]: Atsushi Fujita; Pierre Isabelle; Roland Kuhn
    Enlarging Paraphrase Collections through Generalization and Instantiation
  62. D12-1059 [bib]: Afra Alishahi; Grzegorz Chrupala
    Concurrent Acquisition of Word Meaning and Lexical Categories
  63. D12-1060 [bib]: Natalia Ponomareva; Mike Thelwall
    Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
  64. D12-1061 [bib]: Jianfeng Gao; Shasha Xie; Xiaodong He; Alnur Ali
    Learning Lexicon Models from Search Logs for Query Expansion
  65. D12-1062 [bib]: Quang Do; Wei Lu; Dan Roth
    Joint Inference for Event Timeline Construction
  66. D12-1063 [bib]: Valentin I. Spitkovsky; Hiyan Alshawi; Daniel Jurafsky
    Three Dependency-and-Boundary Models for Grammar Induction
  67. D12-1064 [bib]: Sze-Meng Jojo Wong; Mark Dras; Mark Johnson
    Exploring Adaptor Grammars for Native Language Identification
  68. D12-1065 [bib]: Jennifer Gillenwater; Alex Kulesza; Ben Taskar
    Discovering Diverse and Salient Threads in Document Collections
  69. D12-1066 [bib]: Aurélien Max; Houda Bouamor; Anne Vilnat
    Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs
  70. D12-1067 [bib]: Sebastian Riedel; David Smith; Andrew McCallum
    Parse, Price and Cut–-Delayed Column and Row Generation for Graph Based Parsers
  71. D12-1068 [bib]: Jian Bo Yang; Qi Mao; Qiao Liang Xiang; Ivor Wai-Hung Tsang; Kian Ming Adam Chai; Hai Leong Chieu
    Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
  72. D12-1069 [bib]: Jayant Krishnamurthy; Tom Mitchell
    Weakly Supervised Training of Semantic Parsers
  73. D12-1070 [bib]: Ping Xu; Pascale Fung
    Cross-Lingual Language Modeling with Syntactic Reordering for Low-Resource Speech Recognition
  74. D12-1071 [bib]: Altaf Rahman; Vincent Ng
    Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge
  75. D12-1072 [bib]: Timothy O'Keefe; Silvia Pareti; James R. Curran; Irena Koprinska; Matthew Honnibal
    A Sequence Labelling Approach to Quote Attribution
  76. D12-1073 [bib]: Xian-Ling Mao; Zhao-Yan Ming; Tat-Seng Chua; Si Li; Hongfei Yan; Xiaoming Li
    SSHLDA: A Semi-Supervised Hierarchical Topic Model
  77. D12-1074 [bib]: Jason Naradowsky; Sebastian Riedel; David Smith
    Improving NLP through Marginalization of Hidden Syntactic Structure
  78. D12-1075 [bib]: Dan Garrette; Jason Baldridge
    Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
  79. D12-1076 [bib]: Liwei Chen; Yansong Feng; Lei Zou; Dongyan Zhao
    Explore Person Specific Evidence in Web Person Name Disambiguation
  80. D12-1077 [bib]: Graham Neubig; Taro Watanabe; Shinsuke Mori
    Inducing a Discriminative Parser to Optimize Machine Translation Reordering
  81. D12-1078 [bib]: Shujie Liu; Chi-Ho Li; Mu Li; Ming Zhou
    Re-training Monolingual Parser Bilingually for Syntactic SMT
  82. D12-1079 [bib]: David Burkett; Dan Klein
    Transforming Trees to Improve Syntactic Convergence
  83. D12-1080 [bib]: David McClosky; Christopher D. Manning
    Learning Constraints for Consistent Timeline Extraction
  84. D12-1081 [bib]: Yohei Takaku; Nobuhiro Kaji; Naoki Yoshinaga; Masashi Toyoda
    Identifying Constant and Unique Relations by using Time-Series Text
  85. D12-1082 [bib]: Thomas Lin; Mausam; Oren Etzioni
    No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
  86. D12-1083 [bib]: Shafiq Joty; Giuseppe Carenini; Raymond Ng
    A Novel Discriminative Framework for Sentence-Level Discourse Analysis
  87. D12-1084 [bib]: Michaela Regneri; Rui Wang
    Using Discourse Information for Paraphrase Extraction
  88. D12-1085 [bib]: Bernd Bohnet; Anders Björkelund; Jonas Kuhn; Wolfgang Seeker; Sina Zarriess
    Generating Non-Projective Word Order in Statistical Linearization
  89. D12-1086 [bib]: Mehmet Ali Yatbaz; Enis Sert; Deniz Yuret
    Learning Syntactic Categories Using Paradigmatic Representations of Word Context
  90. D12-1087 [bib]: Keith Stevens; Philip Kegelmeyer; David Andrzejewski; David Buttler
    Exploring Topic Coherence over Many Models and Many Topics
  91. D12-1088 [bib]: Wang Ling; João Graça; Isabel Trancoso; Alan Black
    Entropy-based Pruning for Phrase-based Machine Translation
  92. D12-1089 [bib]: Richard Zens; Daisy Stanton; Peng Xu
    A Systematic Comparison of Phrase Table Pruning Techniques
  93. D12-1090 [bib]: Mengqiu Wang; Christopher D. Manning
    Probabilistic Finite State Machines for Regression-based MT Evaluation
  94. D12-1091 [bib]: Taylor Berg-Kirkpatrick; David Burkett; Dan Klein
    An Empirical Investigation of Statistical Significance in NLP
  95. D12-1092 [bib]: Peifeng Li; Guodong Zhou; Qiaoming Zhu; Libin Hou
    Employing Compositional Semantics and Discourse Consistency in Chinese Event Extraction
  96. D12-1093 [bib]: Ni Lao; Amarnag Subramanya; Fernando Pereira; William W. Cohen
    Reading The Web with Learned Syntactic-Semantic Inference Rules
  97. D12-1094 [bib]: Bonan Min; Shuming Shi; Ralph Grishman; Chin-Yew Lin
    Ensemble Semantics for Large-scale Unsupervised Relation Extraction
  98. D12-1095 [bib]: Richard Farkas; Helmut Schmid
    Forest Reranking through Subtree Ranking
  99. D12-1096 [bib]: Jonathan K. Kummerfeld; David Hall; James R. Curran; Dan Klein
    Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
  100. D12-1097 [bib]: Billy T. M. Wong; Chunyu Kit
    Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
  101. D12-1098 [bib]: Amit Goyal; Hal Daume III; Raul Guerra
    Fast Large-Scale Approximate Graph Construction for NLP
  102. D12-1099 [bib]: Doo Soon Kim; Kunal Verma; Peter Yeh
    Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
  103. D12-1100 [bib]: Amit Goyal; Hal Daume III; Graham Cormode
    Sketch Algorithms for Estimating Point Queries in NLP
  104. D12-1101 [bib]: Sameer Singh; Michael Wick; Andrew McCallum
    Monte Carlo MCMC: Efficient Inference by Approximate Sampling
  105. D12-1102 [bib]: Vivek Srikumar; Gourab Kundu; Dan Roth
    On Amortizing Inference Cost for Structured Prediction
  106. D12-1103 [bib]: Simon Carter; Marc Dymetman; Guillaume Bouchard
    Exact Sampling and Decoding in High-Order Hidden Markov Models
  107. D12-1104 [bib]: Ndapandula Nakashole; Gerhard Weikum; Fabian Suchanek
    PATTY: A Taxonomy of Relational Patterns with Semantic Types
  108. D12-1105 [bib]: David Hall; Dan Klein
    Training Factored PCFGs with Expectation Propagation
  109. D12-1106 [bib]: Annie Louis; Ani Nenkova
    A Coherence Model Based on Syntactic Patterns
  110. D12-1107 [bib]: Kenneth Heafield; Philipp Koehn; Alon Lavie
    Language Model Rest Costs and Space-Efficient Storage
  111. D12-1108 [bib]: Christian Hardmeier; Joakim Nivre; Jörg Tiedemann
    Document-Wide Decoding for Phrase-Based Statistical Machine Translation
  112. D12-1109 [bib]: Yang Feng; Yang Liu; Qun Liu; Trevor Cohn
    Left-to-Right Tree-to-String Decoding with Prediction
  113. D12-1110 [bib]: Richard Socher; Brody Huval; Christopher D. Manning; Andrew Y. Ng
    Semantic Compositionality through Recursive Matrix-Vector Spaces
  114. D12-1111 [bib]: Wen-tau Yih; Geoffrey Zweig; John Platt
    Polarity Inducing Latent Semantic Analysis
  115. D12-1112 [bib]: Gemma Boleda; Eva Maria Vecchi; Miquel Cornudella; Louise McNally
    First Order vs. Higher Order Modification in Distributional Semantics
  116. D12-1113 [bib]: Lev Ratinov; Dan Roth
    Learning-based Multi-Sieve Co-reference Resolution with Knowledge
  117. D12-1114 [bib]: Yang Song; Jing Jiang; Wayne Xin Zhao; Sujian Li; Houfeng Wang
    Joint Learning for Coreference Resolution with Markov Logic
  118. D12-1115 [bib]: Varada Kolhatkar; Graeme Hirst
    Resolving "This-issue" Anaphora
  119. D12-1116 [bib]: Amit Singh
    Entity based Q&A Retrieval
  120. D12-1117 [bib]: Hui Yang
    Constructing Task-Specific Taxonomies for Document Collection Browsing
  121. D12-1118 [bib]: Jordan Boyd-Graber; Brianna Satinoff; He He; Hal Daume III
    Besting the Quiz Master: Crowdsourcing Incremental Classification Games
  122. D12-1119 [bib]: Mahesh Joshi; Mark Dredze; William W. Cohen; Carolyn Rose
    Multi-Domain Learning: When Do Domains Matter?
  123. D12-1120 [bib]: Fei Huang; Alexander Yates
    Biased Representation Learning for Domain Adaptation
  124. D12-1121 [bib]: Kewei Tu; Vasant Honavar
    Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars
  125. D12-1122 [bib]: Bishan Yang; Claire Cardie
    Extracting Opinion Expressions with semi-Markov Conditional Random Fields
  126. D12-1123 [bib]: Kang Liu; Liheng Xu; Jun Zhao
    Opinion Target Extraction Using Word-Based Translation Model
  127. D12-1124 [bib]: Victor Chahuneau; Kevin Gimpel; Bryan R. Routledge; Lily Scherlis; Noah A. Smith
    Word Salad: Relating Food Prices and Descriptions
  128. D12-1125 [bib]: Yuan Zhang; Roi Reichart; Regina Barzilay; Amir Globerson
    Learning to Map into a Universal POS Tagset
  129. D12-1126 [bib]: Jiayi Zhao; Xipeng Qiu; Shu Zhang; Feng Ji; Xuanjing Huang
    Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features
  130. D12-1127 [bib]: Shen Li; João Graça; Ben Taskar
    Wiki-ly Supervised Part-of-Speech Tagging
  131. D12-1128 [bib]: Roberto Navigli; Simone Paolo Ponzetto
    Joining Forces Pays Off: Multilingual Joint Word Sense Disambiguation
  132. D12-1129 [bib]: Stefano Faralli; Roberto Navigli
    A New Minimally-Supervised Framework for Domain Word Sense Disambiguation
  133. D12-1130 [bib]: Carina Silberer; Mirella Lapata
    Grounded Models of Semantic Representation
  134. D12-1131 [bib]: Alexander Rush; Roi Reichart; Michael Collins; Amir Globerson
    Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
  135. D12-1132 [bib]: Zhongguo Li; Guodong Zhou
    Unified Dependency Parsing of Chinese Morphological and Syntactic Structures
  136. D12-1133 [bib]: Bernd Bohnet; Joakim Nivre
    A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing
  137. D12-1134 [bib]: Xin Zhao; Baihan Shu; Jing Jiang; Yang Song; Hongfei Yan; Xiaoming Li
    Identifying Event-related Bursts via Social Media Activities
  138. D12-1135 [bib]: Katja Filippova
    User Demographics and Language in an Implicit Social Network
  139. D12-1136 [bib]: Bo Pang; Sujith Ravi
    Revisiting the Predictability of Language: Response Completion in Social Media
  140. D12-1137 [bib]: Stephen Roller; Michael Speriosu; Sarat Rallapalli; Benjamin Wing; Jason Baldridge
    Supervised Text-based Geolocation Using Language Models on an Adaptive Grid
  141. D12-1138 [bib]: Huizhong Duan; Yanen Li; ChengXiang Zhai; Dan Roth
    A Discriminative Model for Query Spelling Correction with Latent Structural SVM
  142. D12-1139 [bib]: Song Feng; Ritwik Banerjee; Yejin Choi
    Characterizing Stylistic Elements in Syntactic Structure
  143. Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

  144. W12-37 [bib]: Entire Volume
  145. W12-3700 [bib]: Front Matter

  146. W12-3701 [bib]: Rada Mihalcea
    Multimodal Sentiment Analysis
  147. W12-3702 [bib]: Janyce Wiebe
    Subjectivity Word Sense Disambiguation
  148. W12-3703 [bib]: Arturo Montejo-Ráez; Eugenio Martìnez-Cámara; M. Teresa Martìn-Valdivia; L. Alfonso Ureña-López
    Random Walk Weighting over SentiWordNet for Sentiment Polarity Detection on Twitter
  149. W12-3704 [bib]: Akshat Bakliwal; Piyush Arora; Senthil Madhappan; Nikhil Kapre; Mukesh Singh; Vasudeva Varma
    Mining Sentiments from Tweets
  150. W12-3705 [bib]: Muhammad Abdul-Mageed; Sandra Kuebler; Mona Diab
    SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media
  151. W12-3706 [bib]: Boyan Bonev; Gema Ramìrez Sánchez; Sergio Ortiz Rojas
    Opinum: statistical sentiment analysis for opinion classification
  152. W12-3707 [bib]: Amitava Das; Gambäck Björn
    Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality
  153. W12-3708 [bib]: Maya Ando; Shun Ishizaki
    Analysis of Travel Review Data from Reader’s Point of View
  154. W12-3709 [bib]: Alexandra Balahur; Marco Turchi
    Multilingual Sentiment Analysis using Machine Translation?
  155. W12-3710 [bib]: Jie Yin; Nalin Narang; Paul Thomas; Cecile Paris
    Unifying Local and Global Agreement and Disagreement Classification in Online Debates
  156. W12-3711 [bib]: Diman Ghazi; Diana Inkpen; Stan Szpakowicz
    Prior versus Contextual Emotion of a Word in a Sentence
  157. W12-3712 [bib]: Phillip Smith; Mark Lee
    Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain
  158. W12-3713 [bib]: Kevin Reschke; Pranav Anand
    POLITICAL-ADS: An annotated corpus for modeling event-level evaluativity
  159. W12-3714 [bib]: Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
    Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis
  160. W12-3715 [bib]: Gábor Berend; Veronika Vincze
    How to Evaluate Opinionated Keyphrase Extraction?
  161. W12-3716 [bib]: Josef Ruppenhofer; Ines Rehbein
    Semantic frames as an anchor representation for sentiment analysis
  162. W12-3717 [bib]: Dasha Bogdanova; Paolo Rosso; Thamar Solorio
    On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators
  163. Joint Conference on EMNLP and CoNLL - Shared Task

  164. W12-45 [bib]: Entire Volume
  165. W12-4500 [bib]: Front Matter

  166. W12-4501 [bib]: Sameer Pradhan; Alessandro Moschitti; Nianwen Xue; Olga Uryupina; Yuchen Zhang
    CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes
  167. W12-4502 [bib]: Eraldo Fernandes; Cìcero dos Santos; Ruy Milidiú
    Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution
  168. W12-4503 [bib]: Anders Björkelund; Richárd Farkas
    Data-driven Multilingual Coreference Resolution using Resolver Stacking
  169. W12-4504 [bib]: Chen Chen; Vincent Ng
    Combining the Best of Two Worlds: A Hybrid Approach to Multilingual Coreference Resolution
  170. W12-4505 [bib]: Marcus Stamborg; Dennis Medved; Peter Exner; Pierre Nugues
    Using Syntactic Dependencies to Solve Coreferences
  171. W12-4506 [bib]: Hao Xiong; Qun Liu
    ICT: System Description for CoNLL-2012
  172. W12-4507 [bib]: Bo Yuan; Qingcai Chen; Yang Xiang; Xiaolong Wang; Liping Ge; Zengjian Liu; Meng Liao; Xianbo Si
    A Mixed Deterministic Model for Coreference Resolution
  173. W12-4508 [bib]: Xinxin Li; Xuan Wang; Xingwei Liao
    Simple Maximum Entropy Models for Multilingual Coreference Resolution
  174. W12-4509 [bib]: Desislava Zhekova; Sandra Kübler; Joshua Bonner; Marwa Ragheb; Yu-Yin Hsu
    UBIU for Multilingual Coreference Resolution in OntoNotes
  175. W12-4510 [bib]: Xiaotian Zhang; Chunyang Wu; Hai Zhao
    Chinese Coreference Resolution via Ordered Filtering
  176. W12-4511 [bib]: Sebastian Martschat; Jie Cai; Samuel Broscheit; Éva Mújdricza-Maydt; Michael Strube
    A Multigraph Model for Coreference Resolution
  177. W12-4512 [bib]: Ruifeng Xu; Jun Xu; Jie Liu; Chengxiang Liu; Chengtian Zou; Lin Gui; Yanzhen Zheng; Peng Qu
    Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
  178. W12-4513 [bib]: Kai-Wei Chang; Rajhans Samdani; Alla Rozovskaya; Mark Sammons; Dan Roth
    Illinois-Coref: The UI System in the CoNLL-2012 Shared Task
  179. W12-4514 [bib]: Heming Shou; Hai Zhao
    System paper for CoNLL-2012 shared task: Hybrid Rule-based Algorithm for Coreference Resolution.
  180. W12-4515 [bib]: Olga Uryupina; Alessandro Moschitti; Massimo Poesio
    BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 Shared Task
  181. W12-4516 [bib]: Baoli Li
    Learning to Model Multilingual Unrestricted Coreference in OntoNotes


  1. Proceedings of the Fifteenth Conference on Computational Natural Language Learning

  2. W11-03 [bib]: Entire Volume
  3. W11-0300 [bib]: Front Matter

  4. W11-0301 [bib]: Yoong Keok Lee; Aria Haghighi; Regina Barzilay
    Modeling Syntactic Context Improves Morphological Segmentation
  5. W11-0302 [bib]: Emad Mohamed
    The Effect of Automatic Tokenization, Vocalization, Stemming, and {POS} Tagging on {A}rabic Dependency Parsing
  6. W11-0303 [bib]: Valentin I. Spitkovsky; Hiyan Alshawi; Daniel Jurafsky
    Punctuation: Making a Point in Unsupervised Dependency Parsing
  7. W11-0304 [bib]: Constantine Lignos
    Modeling Infant Word Segmentation
  8. W11-0305 [bib]: Daniel Hewlett; Paul Cohen
    Word Segmentation as General Chunking
  9. W11-0306 [bib]: Bruce Hayes
    (Invited talk) Computational Linguistics for Studying Language in People: Principles, Applications and Research Problems
  10. W11-0307 [bib]: Andreas Vlachos; Mark Craven
    Search-based Structured Prediction applied to Biomedical Event Extraction
  11. W11-0308 [bib]: Smruthi Mukund; Debanjan Ghosh; Rohini Srihari
    Using Sequence Kernels to identify Opinion Entities in Urdu
  12. W11-0309 [bib]: Robert Munro
    Subword and Spatiotemporal Models for Identifying Actionable Information in {H}aitian {K}reyol
  13. W11-0310 [bib]: Ruchita Sarawgi; Kailash Gajulapalli; Yejin Choi
    Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre
  14. W11-0311 [bib]: Cem Akkaya; Janyce Wiebe; Alexander Conrad; Rada Mihalcea
    Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis
  15. W11-0312 [bib]: Dana Angluin; Leonor Becerra-Bonache
    Effects of Meaning-Preserving Corrections on Language Learning
  16. W11-0313 [bib]: Shilpa Arora; Eric Nyberg
    Assessing Benefit from Feature Feedback in Active Learning for Text Classification
  17. W11-0314 [bib]: Felice Dell'Orletta; Giulia Venturi; Simonetta Montemagni
    ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
  18. W11-0315 [bib]: Fei Huang; Alexander Yates; Arun Ahuja; Doug Downey
    Language Models as Representations for Weakly Supervised NLP Tasks
  19. W11-0316 [bib]: Zhiyuan Liu; Xinxiong Chen; Yabin Zheng; Maosong Sun
    Automatic Keyphrase Extraction by Bridging Vocabulary Gap
  20. W11-0317 [bib]: Bridget T. McInnes; Ted Pedersen; Ying Liu; Serguei V. Pakhomov; Genevieve B. Melton
    Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation
  21. W11-0318 [bib]: Kohei Ozaki; Masashi Shimbo; Mamoru Komachi; Yuji Matsumoto
    Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data
  22. W11-0319 [bib]: Marco Pennacchiotti; Patrick Pantel
    Automatically Building Training Examples for Entity Extraction
  23. W11-0320 [bib]: Thomas Schoenemann
    Probabilistic Word Alignment under the $L_0$-norm
  24. W11-0321 [bib]: Yanir Seroussi; Ingrid Zukerman; Fabian Bohnert
    Authorship Attribution with Latent Dirichlet Allocation
  25. W11-0322 [bib]: Sean Szumlanski; Fernando Gomez
    Evaluating a Semantic Network Automatically Constructed from Lexical Co-occurrence on a Word Sense Disambiguation Task
  26. W11-0323 [bib]: Ning Yu; Sandra Kübler
    Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains
  27. W11-0324 [bib]: Xiaodan Zhu
    A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents
  28. W11-0325 [bib]: Yee Whye Teh
    (Invited talk) Bayesian Tools for Natural Language Learning
  29. W11-0326 [bib]: Siming Li; Girish Kulkarni; Tamara L. Berg; Alexander C. Berg; Yejin Choi
    Composing Simple Image Descriptions using Web-scale N-grams
  30. W11-0327 [bib]: Gourab Kundu; Dan Roth
    Adapting Text instead of the Model: An Open Domain Approach
  31. W11-0328 [bib]: Yoshimasa Tsuruoka; Yusuke Miyao; Jun'ichi Kazama
    Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
  32. W11-0329 [bib]: Wen-tau Yih; Kristina Toutanova; John C. Platt; Christopher Meek
    Learning Discriminative Projections for Text Similarity Measures
  33. Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task

  34. W11-19 [bib]: Entire Volume
  35. W11-1900 [bib]: Front Matter

  36. W11-1901 [bib]: Sameer Pradhan; Lance Ramshaw; Mitchell Marcus; Martha Palmer; Ralph Weischedel; Nianwen Xue
    CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes
  37. W11-1902 [bib]: Heeyoung Lee; Yves Peirsman; Angel Chang; Nathanael Chambers; Mihai Surdeanu; Dan Jurafsky
    Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
  38. W11-1903 [bib]: Emili Sapena; Lluìs Padró; Jordi Turmo
    RelaxCor Participation in CoNLL Shared Task on Coreference Resolution
  39. W11-1904 [bib]: Kai-Wei Chang; Rajhans Samdani; Alla Rozovskaya; Nick Rizzolo; Mark Sammons; Dan Roth
    Inference Protocols for Coreference Resolution
  40. W11-1905 [bib]: Anders Björkelund; Pierre Nugues
    Exploring Lexicalized Features for Coreference Resolution
  41. W11-1906 [bib]: Cicero Nogueira dos Santos; Davi Lopes Carvalho
    Rule and Tree Ensembles for Unrestricted Coreference Resolution
  42. W11-1907 [bib]: Jie Cai; Eva Mujdricza-Maydt; Michael Strube
    Unrestricted Coreference Resolution via Global Hypergraph Partitioning
  43. W11-1908 [bib]: Olga Uryupina; Sriparna Saha; Asif Ekbal; Massimo Poesio
    Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task
  44. W11-1909 [bib]: Huiwei Zhou; Yao Li; Degen Huang; Yan Zhang; Chunlong Wu; Yuansheng Yang
    Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution
  45. W11-1910 [bib]: Hamidreza Kobdani; Hinrich Schuetze
    Supervised Coreference Resolution with SUCRE
  46. W11-1911 [bib]: Hao Xiong; Linfeng Song; Fandong Meng; Yang Liu; Qun Liu; Yajuan Lv
    ETS: An Error Tolerable System for Coreference Resolution
  47. W11-1912 [bib]: Manfred Klenner; Don Tuggener
    An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility
  48. W11-1913 [bib]: Joseph Irwin; Mamoru Komachi; Yuji Matsumoto
    Narrative Schema as World Knowledge for Coreference Resolution
  49. W11-1914 [bib]: Sobha Lalitha Devi; Pattabhi Rao; Vijay Sundar Ram R; M. C S; A. A
    Hybrid Approach for Coreference Resolution
  50. W11-1915 [bib]: Eric Charton; Michel Gagnon
    Poly-co: a multilayer perceptron approach for coreference detection
  51. W11-1916 [bib]: Jonathan K Kummerfeld; Mohit Bansal; David Burkett; Dan Klein
    Mention Detection: Heuristics for the OntoNotes annotations
  52. W11-1917 [bib]: Xinxin Li; Xuan Wang; Shuhan Qi
    Coreference Resolution with Loose Transitivity Constraints
  53. W11-1918 [bib]: Desislava Zhekova; Sandra Kübler
    UBIU: A Robust System for Resolving Unrestricted Coreference
  54. W11-1919 [bib]: Yaqin Yang; Nianwen Xue; Peter Anick
    A Machine Learning-Based Coreference Detection System for OntoNotes
  55. W11-1920 [bib]: Veselin Stoyanov; Uday Babbar; Pracheer Gupta; Claire Cardie
    Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile.
  56. W11-1921 [bib]: Weipeng Chen; Muyu Zhang; Bing Qin
    Coreference Resolution System using Maximum Entropy Classifier
  57. W11-1922 [bib]: Yang Song; Houfeng Wang; Jing Jiang
    Link Type Based Pre-Cluster Pair Model for Coreference Resolution


  1. Proceedings of the Fourteenth Conference on Computational Natural Language Learning

  2. W10-29 [bib]: Entire Volume
  3. W10-2900 [bib]: Front Matter

  4. W10-2901 [bib]: Christian Hänig
    Improvements in Unsupervised Co-Occurrence Based Parsing
  5. W10-2902 [bib]: Valentin I. Spitkovsky; Hiyan Alshawi; Daniel Jurafsky; Christopher D. Manning
    Viterbi Training Improves Unsupervised Dependency Parsing
  6. W10-2903 [bib]: James Clarke; Dan Goldwasser; Ming-Wei Chang; Dan Roth
    Driving Semantic Parsing from the World’s Response
  7. W10-2904 [bib]: Alexander Clark
    Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages
  8. W10-2905 [bib]: Jesús Santamaría; Lourdes Araujo
    Identifying Patterns for Unsupervised Grammar Induction
  9. W10-2906 [bib]: David Burkett; Slav Petrov; John Blitzer; Dan Klein
    Learning Better Monolingual Models with Unannotated Bilingual Text
  10. W10-2907 [bib]: Lillian Lee
    (Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information
  11. W10-2908 [bib]: Zoubin Ghahramani
    (Invited Talk) Bayesian Hidden Markov Models and Extensions
  12. W10-2909 [bib]: Roi Reichart; Raanan Fattal; Ari Rappoport
    Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint
  13. W10-2910 [bib]: Richard Johansson; Alessandro Moschitti
    Syntactic and Semantic Structure for Opinion Expression Detection
  14. W10-2911 [bib]: Roi Reichart; Omri Abend; Ari Rappoport
    Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
  15. W10-2912 [bib]: Constantine Lignos; Charles Yang
    Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources
  16. W10-2913 [bib]: Thomas Schoenemann
    Computing Optimal Alignments for the IBM-3 Translation Model
  17. W10-2914 [bib]: Dmitry Davidov; Oren Tsur; Ari Rappoport
    Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
  18. W10-2915 [bib]: Markos Mylonakis; Khalil Sima’an
    Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
  19. W10-2916 [bib]: Sankaranarayanan Ananthakrishnan; Rohit Prasad; David Stallard; Prem Natarajan
    A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation
  20. W10-2917 [bib]: Shujian Huang; Kangxi Li; Xinyu Dai; Jiajun Chen
    Improving Word Alignment by Semi-Supervised Ensemble
  21. W10-2918 [bib]: Chenghua Lin; Yulan He; Richard Everson
    A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
  22. W10-2919 [bib]: Jorge Carrillo de Albornoz; Laura Plaza; Pablo Gervás
    A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
  23. W10-2920 [bib]: Micah Hodosh; Peter Young; Cyrus Rashtchian; Julia Hockenmaier
    Cross-Caption Coreference Resolution for Automatic Image Understanding
  24. W10-2921 [bib]: Shane Bergsma; Dekang Lin; Dale Schuurmans
    Improved Natural Language Learning via Variance-Regularization Support Vector Machines
  25. W10-2922 [bib]: Grzegorz Chrupała; Afra Alishahi
    Online Entropy-Based Model of Lexical Category Acquisition
  26. W10-2923 [bib]: Su Nam Kim; Li Wang; Timothy Baldwin
    Tagging and Linking Web Forum Posts
  27. W10-2924 [bib]: Rohit J. Kate; Raymond Mooney
    Joint Entity and Relation Extraction Using Card-Pyramid Parsing
  28. W10-2925 [bib]: Kevin Gimpel; Dipanjan Das; Noah A. Smith
    Distributed Asynchronous Online Learning for Natural Language Processing
  29. W10-2926 [bib]: Daniele Pighin; Alessandro Moschitti
    On Reverse Feature Engineering of Syntactic Tree Kernels
  30. W10-2927 [bib]: Yoav Goldberg; Michael Elhadad
    Inspecting the Structural Biases of Dependency Parsing Algorithms
  31. Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task

  32. W10-30 [bib]: Entire Volume
  33. W10-3000 [bib]: Front Matter

  34. W10-3001 [bib]: Richárd Farkas; Veronika Vincze; György Móra; János Csirik; György Szarvas
    The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
  35. W10-3002 [bib]: Buzhou Tang; Xiaolong Wang; Xuan Wang; Bo Yuan; Shixi Fan
    A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
  36. W10-3003 [bib]: Andreas Vlachos; Mark Craven
    Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
  37. W10-3004 [bib]: Maria Georgescul
    A Hedgehop over a Max-Margin Framework Using Hedge Cues
  38. W10-3005 [bib]: Feng Ji; Xipeng Qiu; Xuanjing Huang
    Detecting Hedge Cues and their Scopes with Average Perceptron
  39. W10-3006 [bib]: Roser Morante; Vincent Van Asch; Walter Daelemans
    Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
  40. W10-3007 [bib]: Erik Velldal; Lilja Øvrelid; Stephan Oepen
    Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
  41. W10-3008 [bib]: Marek Rei; Ted Briscoe
    Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
  42. W10-3009 [bib]: Eraldo Fernandes; Carlos Crestana; Ruy Milidiú
    Hedge Detection Using the RelHunter Approach
  43. W10-3010 [bib]: Halil Kilicoglu; Sabine Bergler
    A High-Precision Approach to Detecting Hedges and their Scopes
  44. W10-3011 [bib]: Xinxin Li; Jianping Shen; Xiang Gao; Xuan Wang
    Exploiting Rich Features for Detecting Hedges and their Scope
  45. W10-3012 [bib]: Oscar Täckström; Sumithra Velupillai; Martin Hassel; Gunnar Eriksson; Hercules Dalianis; Jussi Karlgren
    Uncertainty Detection as Approximate Max-Margin Sequence Labelling
  46. W10-3013 [bib]: Shaodian Zhang; Hai Zhao; Guodong Zhou; Bao-Liang Lu
    Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
  47. W10-3014 [bib]: Qi Zhao; Chengjie Sun; Bingquan Liu; Yong Cheng
    Learning to Detect Hedges and their Scope Using CRF
  48. W10-3015 [bib]: Huiwei Zhou; Xiaoyan Li; Degen Huang; Zezhong Li; Yuansheng Yang
    Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
  49. W10-3016 [bib]: Lin Chen; Barbara Di Eugenio
    A Lucene and Maximum Entropy Model Based Hedge Detection System
  50. W10-3017 [bib]: David Clausen
    HedgeHunter: A System for Hedge Detection and Uncertainty Classification
  51. W10-3018 [bib]: Liliana Mamani Sánchez; Baoli Li; Carl Vogel
    Exploiting CCG Structures with Tree Kernels for Speculation Detection
  52. W10-3019 [bib]: Vinodkumar Prabhakaran
    Uncertainty Learning Using SVMs and CRFs
  53. W10-3020 [bib]: Nobuyuki Shimizu; Hiroshi Nakagawa
    Features for Detecting Hedge Cues
  54. W10-3021 [bib]: Ferenc Szidarovszky; Illés Solt; Domonkos Tikk
    A Simple Ensemble Method for Hedge Identification
  55. W10-3022 [bib]: Erik Tjong Kim Sang
    A Baseline Approach for Detecting Sentences Containing Uncertainty
  56. W10-3023 [bib]: Yi Zheng; Qifeng Dai; Qiming Luo; Enhong Chen
    Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier
  57. Proceedings of the Workshop on Negation and Speculation in Natural Language Processing

  58. W10-31 [bib]: Entire Volume
  59. W10-3100 [bib]: Front Matter

  60. W10-3101 [bib]: Maria Liakata
    Zones of conceptualisation in scientific papers: a window to negative and speculative statements
  61. W10-3102 [bib]: Hercules Dalianis; Maria Skeppstedt
    Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus
  62. W10-3103 [bib]: Sumithra Velupillai
    Towards a better understanding of uncertainties and speculations in Swedish clinical text – Analysis of an initial annotation trial
  63. W10-3104 [bib]: Ira Goldstein; Özlem Uzuner
    Does negation really matter?
  64. W10-3105 [bib]: Veronika Vincze
    Speculation and negation annotation in natural language texts: what the case of BioScope might (not) reveal
  65. W10-3106 [bib]: Julien Desclés; Olfa Makkaoui; Taouise Hacène
    Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation
  66. W10-3107 [bib]: Aron Henriksson; Sumithra Velupillai
    Levels of certainty in knowledge-intensive corpora: an initial annotation study
  67. W10-3108 [bib]: Martin Krallinger
    Importance of negations and experimental qualifiers in biomedical literature
  68. W10-3109 [bib]: Ed Hovy
    Negation and modality in distributional semantics
  69. W10-3110 [bib]: Isaac Councill; Ryan McDonald; Leonid Velikovich
    What’s great and what’s not: learning to classify the scope of negation for improved sentiment analysis
  70. W10-3111 [bib]: Michael Wiegand; Alexandra Balahur; Benjamin Roth; Dietrich Klakow; Andrés Montoyo
    A survey on the role of negation in sentiment analysis
  71. W10-3112 [bib]: Raheel Nawaz; Paul Thompson; Sophia Ananiadou
    Evaluating a meta-knowledge annotation scheme for bio-events
  72. W10-3113 [bib]: Farzaneh Sarafraz; Goran Nenadic
    Using SVMs with the Command Relation features to identify negated events in biomedical literature
  73. W10-3114 [bib]: Bernardo Magnini; Elena Cabrio
    Contradiction-focused qualitative evaluation of textual entailment


  1. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)

  2. W09-11 [bib]: Entire Volume
  3. W09-1100 [bib]: Front Matter

  4. W09-1101 [bib]: Andrew McCallum
    Joint Inference for Natural Language Processing
  5. W09-1102 [bib]: Michael C. Frank
    Modeling Word Learning As Communicative Inference
  6. W09-1103 [bib]: Roi Reichart; Ari Rappoport
    Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
  7. W09-1104 [bib]: Kathrin Spreyer; Jonas Kuhn
    Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data
  8. W09-1105 [bib]: Roser Morante; Walter Daelemans
    A Metalearning Approach to Processing the Scope of Negation
  9. W09-1106 [bib]: Daniele Pighin; Alessandro Moschitti
    Efficient Linearization of Tree Kernel Functions
  10. W09-1107 [bib]: Michael Bloodgood; K. Vijay-Shanker
    A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
  11. W09-1108 [bib]: Dmitry Davidov; Roi Reichart; Ari Rappoport
    Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser
  12. W09-1109 [bib]: Katrin Erk
    Representing words as regions in vector space
  13. W09-1110 [bib]: Dan Roth; Kevin Small
    Interactive Feature Space Construction using Semantic Information
  14. W09-1111 [bib]: Michael Paul; Roxana Girju; Chen Li
    Mining the Web for Reciprocal Relationships
  15. W09-1112 [bib]: Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth
    Minimally Supervised Model of Early Language Acquisition
  16. W09-1113 [bib]: Mattias Nilsson; Joakim Nivre
    Learning Where to Look: Modeling Eye Movements in Reading
  17. W09-1114 [bib]: Abhishek Arun; Chris Dyer; Barry Haddow; Phil Blunsom; Adam Lopez; Philipp Koehn
    Monte Carlo inference and maximization for phrase-based translation
  18. W09-1115 [bib]: Brandon Beamer; Roxana Girju
    Investigating Automatic Alignment Methods for Slide Generation from Academic Papers
  19. W09-1116 [bib]: Shane Bergsma; Dekang Lin; Randy Goebel
    Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender
  20. W09-1117 [bib]: Nikesh Garera; Chris Callison-Burch; David Yarowsky
    Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences
  21. W09-1118 [bib]: Fredrik Olsson; Katrin Tomanek
    An Intrinsic Stopping Criterion for Committee-Based Active Learning
  22. W09-1119 [bib]: Lev Ratinov; Dan Roth
    Design Challenges and Misconceptions in Named Entity Recognition
  23. W09-1120 [bib]: Roi Reichart; Ari Rappoport
    Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
  24. W09-1121 [bib]: Roi Reichart; Ari Rappoport
    The NVI Clustering Evaluation Measure
  25. W09-1122 [bib]: Erik Tjong Kim Sang; Katja Hofmann
    Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?
  26. W09-1123 [bib]: Peter Wittek; Sandor Daranyi; Chew Lim Tan
    Improving Text Classification by a Sense Spectrum Approach to Term Expansion
  27. W09-1124 [bib]: Marc Vilain; Jonathan Huggins; Ben Wellner
    A simple feature-copying approach for long-distance dependencies
  28. W09-1125 [bib]: Claudio Giuliano
    Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels
  29. W09-1126 [bib]: Kino Coursey; Rada Mihalcea; William Moen
    Using Encyclopedic Knowledge for Automatic Topic Identification
  30. W09-1127 [bib]: Sara Tonelli; Daniele Pighin
    New Features for FrameNet - WordNet Mapping
  31. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task

  32. W09-12 [bib]: Entire Volume
  33. W09-1200 [bib]: Front Matter

  34. W09-1201 [bib]: Jan Hajič; Massimiliano Ciaramita; Richard Johansson; Daisuke Kawahara; Maria Antònia Martí; Lluís Màrquez; Adam Meyers; Joakim Nivre; Sebastian Padó; Jan Štepánek; Pavel Straňák; Mihai Surdeanu; Nianwen Xue; Yi Zhang
    The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
  35. W09-1202 [bib]: Qifeng Dai; Enhong Chen; Liu Shi
    An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling
  36. W09-1203 [bib]: Roser Morante; Vincent Van Asch; Antal van den Bosch
    Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
  37. W09-1204 [bib]: Yi Zhang; Rui Wang; Stephan Oepen
    Hybrid Multilingual Parsing with HPSG for SRL
  38. W09-1205 [bib]: Andrea Gesmundo; James Henderson; Paola Merlo; Ivan Titov
    A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
  39. W09-1206 [bib]: Anders Björkelund; Love Hafdell; Pierre Nugues
    Multilingual Semantic Role Labeling
  40. W09-1207 [bib]: Wanxiang Che; Zhenghua Li; Yongqiang Li; Yuhang Guo; Bing Qin; Ting Liu
    Multilingual Dependency-based Syntactic and Semantic Parsing
  41. W09-1208 [bib]: Hai Zhao; Wenliang Chen; Chunyu Kity; Guodong Zhou
    Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
  42. W09-1209 [bib]: Hai Zhao; Wenliang Chen; Jun’ichi Kazama; Kiyotaka Uchimoto; Kentaro Torisawa
    Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
  43. W09-1210 [bib]: Bernd Bohnet
    Efficient Parsing of Syntactic and Semantic Dependency Structures
  44. W09-1211 [bib]: Baoli Li; Martin Emms; Saturnino Luz; Carl Vogel
    Exploring Multilingual Semantic Role Labeling
  45. W09-1212 [bib]: Xavier Lluís; Stefan Bott; Lluís Màrquez
    A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
  46. W09-1213 [bib]: Ivan Meza-Ruiz; Sebastian Riedel
    Multilingual Semantic Role Labelling with Markov Logic
  47. W09-1214 [bib]: Erwan Moreau; Isabelle Tellier
    The Crotal SRL System : a Generic Tool Based on Tree-structured CRF
  48. W09-1215 [bib]: Han Ren; Donghong Ji; Jing Wan; Mingyao Zhang
    Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach
  49. W09-1216 [bib]: Oscar Täckström
    Multilingual Semantic Parsing with a Pipeline of Linear Classifiers
  50. W09-1217 [bib]: Buzhou Tang; Lu Li; Xinxin Li; Xuan Wang; Xiaolong Wang
    A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models
  51. W09-1218 [bib]: Yotaro Watanabe; Masayuki Asahara; Yuji Matsumoto
    Multilingual Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models
  52. W09-1219 [bib]: Daniel Zeman
    A Simple Generative Pipeline Approach to Dependency Parsing and Semantic Role Labeling
  53. Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing

  54. W09-19 [bib]: Entire Volume
  55. W09-1900 [bib]: Front Matter

  56. W09-1901 [bib]: Caroline Gasperin
    Active Learning for Anaphora Resolution
  57. W09-1902 [bib]: Katrin Tomanek; Florian Laws; Udo Hahn; Hinrich Schütze
    On Proper Unit Selection in Active Learning: Co-Selection Effects for Named Entity Recognition
  58. W09-1903 [bib]: Shilpa Arora; Eric Nyberg; Carolyn P. Rosé
    Estimating Annotation Cost for Active Learning in a Multi-Annotator Environment
  59. W09-1904 [bib]: Pei-Yun Hsueh; Prem Melville; Vikas Sindhwani
    Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria
  60. W09-1905 [bib]: Alexis Palmer; Taesun Moon; Jason Baldridge
    Evaluating Automation Strategies in Language Documentation
  61. W09-1906 [bib]: Katrin Tomanek; Fredrik Olsson
    A Web Survey on the Use of Active Learning to Support Annotation of Text Data
  62. W09-1907 [bib]: Prem Melville; Vikas Sindhwani
    Active Dual Supervision: Reducing the Cost of Annotating Examples and Features
  63. W09-1908 [bib]: Vamshi Ambati; Jaime Carbonell
    Proactive Learning for Building Machine Translation Systems for Minority Languages


  1. CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning

  2. W08-21 [bib]: Entire Volume
  3. W08-2100 [bib]: Front Matter

  4. W08-2101 [bib]: Paola Merlo; Gabriele Musillo
    Semantic Parsing for High-Precision Semantic Role Labelling
  5. W08-2102 [bib]: Xavier Carreras; Michael Collins; Terry Koo
    TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing
  6. W08-2103 [bib]: Tomoya Iwakura; Seishi Okamoto
    A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking
  7. W08-2104 [bib]: Lilja Ovrelid
    Linguistic features in data-driven dependency parsing
  8. W08-2105 [bib]: Rohit Kate
    Transforming Meaning Representation Grammars to Improve Semantic Parsing
  9. W08-2106 [bib]: Hemant Misra; Olivier Cappe; Francois Yvon
    Using LDA to detect semantically incoherent documents
  10. W08-2107 [bib]: Carlos Ramisch; Aline Villavicencio; Leonardo Moura; Marco Idiart
    Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity
  11. W08-2108 [bib]: Afra Alishahi; Afsaneh Fazly; Suzanne Stevenson
    Fast Mapping in Word Learning: What Probabilities Tell Us
  12. W08-2109 [bib]: Daniel Blanchard; Jeffrey Heinz
    Improving Word Segmentation by Simultaneously Learning Phonotactics
  13. W08-2110 [bib]: Harmony Marchal; Benoît Lemaire; Maryse Bianco; Philippe Dessus
    A MDL-based Model of Gender Knowledge Acquisition
  14. W08-2111 [bib]: Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth
    Baby SRL: Modeling Early Language Acquisition.
  15. W08-2112 [bib]: Christopher Parisien; Afsaneh Fazly; Suzanne Stevenson
    An Incremental Bayesian Model for Learning Syntactic Categories
  16. W08-2113 [bib]: Gaël Dias; Raycho Mukelov; Guillaume Cleuziou
    Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts
  17. W08-2114 [bib]: Hansen A. Schwartz; Fernando Gomez
    Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation
  18. W08-2115 [bib]: Han Ren; Donghong Ji; Jing Wan; Lei Han
    Automatic Chinese Catchword Extraction Based on Time Series Analysis
  19. W08-2116 [bib]: Andrew B. Goldberg; Xiaojin Zhu; Charles R. Dyer; Mohamed Eldawy; Lijie Heng
    Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout
  20. W08-2117 [bib]: John Lee
    A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology
  21. W08-2118 [bib]: Thuy Linh Nguyen; Stephan Vogel
    Context-based Arabic Morphological Analysis for Machine Translation
  22. W08-2119 [bib]: Thai Phuong Nguyen; Akira Shimazu; Tu Bao Ho; Minh Le Nguyen; Vinh Van Nguyen
    A Tree-to-String Phrase-based Model for Statistical Machine Translation
  23. W08-2120 [bib]: Giuseppe Di Fabbrizio; Amanda Stent; Srinivas Bangalore
    Trainable Speaker-Based Referring Expression Generation
  24. W08-2121 [bib]: Mihai Surdeanu; Richard Johansson; Adam Meyers; Lluís Màrquez; Joakim Nivre
    The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
  25. W08-2122 [bib]: James Henderson; Paola Merlo; Gabriele Musillo; Ivan Titov
    A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
  26. W08-2123 [bib]: Richard Johansson; Pierre Nugues
    Dependency-based Syntactic–Semantic Analysis with PropBank and NomBank
  27. W08-2124 [bib]: Xavier Lluís; Lluís Màrquez
    A Joint Model for Parsing Syntactic and Semantic Dependencies
  28. W08-2125 [bib]: Sebastian Riedel; Ivan Meza-Ruiz
    Collective Semantic Role Labelling with Markov Logic
  29. W08-2126 [bib]: Yi Zhang; Rui Wang; Hans Uszkoreit
    Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources
  30. W08-2127 [bib]: Hai Zhao; Chunyu Kit
    Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models
  31. W08-2128 [bib]: Roser Morante; Walter Daelemans; Vincent Van Asch
    A Combined Memory-Based Semantic Role Labeler of English
  32. W08-2129 [bib]: Alexander Volokh; Günter Neumann
    A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling
  33. W08-2130 [bib]: Lu Li; Shixi Fan; Xuan Wang; Xiaolong Wang
    Discriminative Learning of Syntactic and Semantic Dependencies
  34. W08-2131 [bib]: Deniz Yuret; Mehmet Ali Yatbaz; Ahmet Engin Ural
    Discriminative vs. Generative Approaches in Semantic Role Labeling
  35. W08-2132 [bib]: Yotaro Watanabe; Masakazu Iwatate; Masayuki Asahara; Yuji Matsumoto
    A Pipeline Approach for Syntactic and Semantic Dependency Parsing
  36. W08-2133 [bib]: Joo-Young Lee; Han-Cheol Cho; Hae-Chang Rim
    Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information
  37. W08-2134 [bib]: Wanxiang Che; Zhenghua Li; Yuxuan Hu; Yongqiang Li; Bing Qin; Ting Liu; Sheng Li
    A Cascaded Syntactic and Semantic Dependency Parsing System
  38. W08-2135 [bib]: Weiwei Sun; Hongzhan Li; Zhifang Sui
    The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models
  39. W08-2136 [bib]: Yvonne Samuelsson; Oscar Täckström; Sumithra Velupillai; Johan Eklund; Mark Fishel; Markus Saers
    Mixing and Blending Syntactic and Semantic Dependencies
  40. W08-2137 [bib]: Hongling Wang; Honglin Wang; Guodong Zhou; Qiaoming Zhu
    Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering
  41. W08-2138 [bib]: Massimiliano Ciaramita; Giuseppe Attardi; Felice Dell'Orletta; Mihai Surdeanu
    DeSRL: A Linear-Time Semantic Role Labeling System
  42. W08-2139 [bib]: Enhong Chen; Liu Shi; Dawei Hu
    Probabilistic Model for Syntactic and Semantic Dependency Parsing
  43. W08-2140 [bib]: David Vickrey; Daphne Koller
    Applying Sentence Simplification to the CoNLL-2008 Shared Task


  1. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

  2. D07-1 [bib]: Entire Volume
  3. D07-1000 [bib]: Front Matter

  4. D07-1001 [bib]: James Clarke; Mirella Lapata
    Modelling Compression with Discourse Constraints
  5. D07-1002 [bib]: Dan Shen; Mirella Lapata
    Using Semantic Roles to Improve Question Answering
  6. D07-1003 [bib]: Mengqiu Wang; Noah A. Smith; Teruko Mitamura
    What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
  7. D07-1004 [bib]: Youzheng Wu; Ruiqiang Zhang; Xinhui Hu; Hideki Kashioka
    Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
  8. D07-1005 [bib]: Shankar Kumar; Franz J. Och; Wolfgang Macherey
    Improving Word Alignment with Bridge Languages
  9. D07-1006 [bib]: Alexander Fraser; Daniel Marcu
    Getting the Structure Right for Word Alignment: LEAF
  10. D07-1007 [bib]: Marine Carpuat; Dekai Wu
    Improving Statistical Machine Translation Using Word Sense Disambiguation
  11. D07-1008 [bib]: Trevor Cohn; Mirella Lapata
    Large Margin Synchronous Generation and its Application to Sentence Compression
  12. D07-1009 [bib]: Erdong Chen; Benjamin Snyder; Regina Barzilay
    Incremental Text Structuring with Online Hierarchical Ranking
  13. D07-1010 [bib]: Ben Wellner; James Pustejovsky
    Automatically Identifying the Arguments of Discourse Connectives
  14. D07-1011 [bib]: Albert Gatt; Kees van Deemter
    Incremental Generation of Plural Descriptions: Similarity and Partitioning
  15. D07-1012 [bib]: Joachim Wagner; Jennifer Foster; Josef van Genabith
    A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
  16. D07-1013 [bib]: Ryan McDonald; Joakim Nivre
    Characterizing the Errors of Data-Driven Dependency Parsing Models
  17. D07-1014 [bib]: David A. Smith; Noah A. Smith
    Probabilistic Models of Nonprojective Dependency Trees
  18. D07-1015 [bib]: Terry Koo; Amir Globerson; Xavier Carreras; Michael Collins
    Structured Prediction Models via the Matrix-Tree Theorem
  19. D07-1016 [bib]: Beatrice Alex; Amit Dubey; Frank Keller
    Using Foreign Inclusion Detection to Improve Parsing Performance
  20. D07-1017 [bib]: Rahul Bhagat; Patrick Pantel; Eduard Hovy
    LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
  21. D07-1018 [bib]: Gemma Boleda; Sabine Schulte im Walde; Toni Badia
    Modelling Polysemy in Adjective Classes by Multi-Label Classification
  22. D07-1019 [bib]: Qing Chen; Mu Li; Ming Zhou
    Improving Query Spelling Correction Using Web Search Results
  23. D07-1020 [bib]: Ying Chen; James Martin
    Towards Robust Unsupervised Personal Name Disambiguation
  24. D07-1021 [bib]: Kenneth Church; Ted Hart; Jianfeng Gao
    Compressing Trigram Language Models With Golomb Coding
  25. D07-1022 [bib]: Shay B. Cohen; Noah A. Smith
    Joint Morphological and Syntactic Disambiguation
  26. D07-1023 [bib]: Sajib Dasgupta; Vincent Ng
    Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
  27. D07-1024 [bib]: Gunes Erkan; Arzucan Ozgur; Dragomir R. Radev
    Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing
  28. D07-1025 [bib]: Dayne Freitag; Shahram Khadivi
    A Sequence Alignment Model Based on the Averaged Perceptron
  29. D07-1026 [bib]: Claudio Giuliano; Alfio Gliozzo
    Instance Based Lexical Entailment for Ontology Population
  30. D07-1027 [bib]: Yuqing Guo; Haifeng Wang; Josef van Genabith
    Recovering Non-Local Dependencies for Chinese
  31. D07-1028 [bib]: Deirdre Hogan; Conor Cafferkey; Aoife Cahill; Josef van Genabith
    Exploiting Multi-Word Units in History-Based Probabilistic Generation
  32. D07-1029 [bib]: Fei Huang; Kishore Papineni
    Hierarchical System Combination for Machine Translation
  33. D07-1030 [bib]: Xiaoguang Hu; Haifeng Wang; Hua Wu
    Using RBMT Systems to Produce Bilingual Corpus for SMT
  34. D07-1031 [bib]: Mark Johnson
    Why Doesn’t EM Find Good HMM POS-Taggers?
  35. D07-1032 [bib]: Daisuke Kawahara; Sadao Kurohashi
    Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
  36. D07-1033 [bib]: Jun’ichi Kazama; Kentaro Torisawa
    A New Perceptron Algorithm for Sequence Labeling with Non-Local Features
  37. D07-1034 [bib]: Oi Yee Kwong; Benjamin K. Tsou
    Extending a Thesaurus in the Pan-Chinese Context
  38. D07-1035 [bib]: Jingjing Liu; Yunbo Cao; Chin-Yew Lin; Yalou Huang; Ming Zhou
    Low-Quality Product Review Detection in Opinion Summarization
  39. D07-1036 [bib]: Yajuan Lu; Jin Huang; Qun Liu
    Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
  40. D07-1037 [bib]: Irina Matveeva; Gina-Anne Levow
    Topic Segmentation with Hybrid Document Indexing
  41. D07-1038 [bib]: Jonathan May; Kevin Knight
    Syntactic Re-Alignment Models for Machine Translation
  42. D07-1039 [bib]: Diana McCarthy; Sriram Venkatapathy; Aravind Joshi
    Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
  43. D07-1040 [bib]: Rada Mihalcea; Hakan Ceylan
    Explorations in Automatic Book Summarization
  44. D07-1041 [bib]: Taesun Moon; Jason Baldridge
    Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
  45. D07-1042 [bib]: Sebastian Padó; Ulrike Padó; Katrin Erk
    Flexible, Corpus-Based Modelling of Human Plausibility Judgements
  46. D07-1043 [bib]: Andrew Rosenberg; Julia Hirschberg
    V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
  47. D07-1044 [bib]: Issei Sato; Hiroshi Nakagawa
    Bayesian Document Generative Model with Explicit Multiple Topics
  48. D07-1045 [bib]: Holger Schwenk; Marta R. Costa-jussa; Jose A. R. Fonollosa
    Smooth Bilingual $N$-Gram Translation
  49. D07-1046 [bib]: Danny Shacham; Shuly Wintner
    Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination
  50. D07-1047 [bib]: Krysta Svore; Lucy Vanderwende; Christopher Burges
    Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
  51. D07-1048 [bib]: Hironori Takeuchi; L Venkata Subramaniam; Tetsuya Nasukawa; Shourya Roy
    Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers
  52. D07-1049 [bib]: David Talbot; Miles Osborne
    Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap
  53. D07-1050 [bib]: Takaaki Tanaka; Francis Bond; Timothy Baldwin; Sanae Fujita; Chikara Hashimoto
    Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
  54. D07-1051 [bib]: Katrin Tomanek; Joachim Wermter; Udo Hahn
    An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data
  55. D07-1052 [bib]: Yannick Versley
    Antecedent Selection Techniques for High-Recall Coreference Resolution
  56. D07-1053 [bib]: Tonio Wandmacher; Jean-Yves Antoine
    Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
  57. D07-1054 [bib]: Hirofumi Yamamoto; Eiichiro Sumita
    Bilingual Cluster Based Models for Statistical Machine Translation
  58. D07-1055 [bib]: Richard Zens; Sasa Hasan; Hermann Ney
    A Systematic Comparison of Training Criteria for Statistical Machine Translation
  59. D07-1056 [bib]: Dongdong Zhang; Mu Li; Chi-Ho Li; Ming Zhou
    Phrase Reordering Model Integrating Syntactic Knowledge for SMT
  60. D07-1057 [bib]: Shanheng Zhao; Hwee Tou Ng
    Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
  61. D07-1058 [bib]: Willem Zuidema
    Parsimonious Data-Oriented Parsing
  62. D07-1059 [bib]: Andy Chiu; Pascal Poupart; Chrysanne DiMarco
    Generating Lexical Analogies Using Dependency Relations
  63. D07-1060 [bib]: Saif Mohammad; Iryna Gurevych; Graeme Hirst; Torsten Zesch
    Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance
  64. D07-1061 [bib]: Thad Hughes; Daniel Ramage
    Lexical Semantic Relatedness with Random Graph Walks
  65. D07-1062 [bib]: Yudong Liu; Anoop Sarkar
    Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
  66. D07-1063 [bib]: Akihiro Tamura; Hiroya Takamura; Manabu Okumura
    Japanese Dependency Analysis Using the Ancestor-Descendant Relation
  67. D07-1064 [bib]: Masashi Shimbo; Kazuo Hara
    A Discriminative Learning Model for Coordinate Conjunctions
  68. D07-1065 [bib]: Denis Filimonov; Mary Harper
    Recovery of Empty Nodes in Parse Structures
  69. D07-1066 [bib]: Ines Rehbein; Josef van Genabith
    Treebank Annotation Schemes and Parser Evaluation for German
  70. D07-1067 [bib]: Qinfeng Shi; Yasemin Altun; Alex Smola; S.V.N. Vishwanathan
    Semi-Markov Models for Sequence Segmentation
  71. D07-1068 [bib]: Yotaro Watanabe; Masayuki Asahara; Yuji Matsumoto
    A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields
  72. D07-1069 [bib]: Anthony Fader; Dragomir R. Radev; Michael H. Crespin; Burt L. Monroe; Kevin M. Quinn; Michael Colaresi
    MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
  73. D07-1070 [bib]: David A. Smith; Jason Eisner
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
  74. D07-1071 [bib]: Luke Zettlemoyer; Michael Collins
    Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
  75. D07-1072 [bib]: Percy Liang; Slav Petrov; Michael Jordan; Dan Klein
    The Infinite PCFG Using Hierarchical Dirichlet Processes
  76. D07-1073 [bib]: Jun’ichi Kazama; Kentaro Torisawa
    Exploiting Wikipedia as External Knowledge for Named Entity Recognition
  77. D07-1074 [bib]: Silviu Cucerzan
    Large-Scale Named Entity Disambiguation Based on Wikipedia Data
  78. D07-1075 [bib]: Siddharth Patwardhan; Ellen Riloff
    Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions
  79. D07-1076 [bib]: GuoDong Zhou; Min Zhang; DongHong Ji; QiaoMing Zhu
    Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
  80. D07-1077 [bib]: Chao Wang; Michael Collins; Philipp Koehn
    Chinese Syntactic Reordering for Statistical Machine Translation
  81. D07-1078 [bib]: Wei Wang; Kevin Knight; Daniel Marcu
    Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
  82. D07-1079 [bib]: Steve DeNeefe; Kevin Knight; Wei Wang; Daniel Marcu
    What Can Syntax-Based MT Learn from Phrase-Based MT?
  83. D07-1080 [bib]: Taro Watanabe; Jun Suzuki; Hajime Tsukada; Hideki Isozaki
    Online Large-Margin Training for Statistical Machine Translation
  84. D07-1081 [bib]: Jingyang Li; Maosong Sun
    Scalable Term Selection for Text Categorization
  85. D07-1082 [bib]: Jingbo Zhu; Eduard Hovy
    Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
  86. D07-1083 [bib]: Jun Suzuki; Akinori Fujino; Hideki Isozaki
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
  87. D07-1084 [bib]: Edward Loper
    Finding Good Sequential Model Structures using Output Transformations
  88. D07-1085 [bib]: Tee Kiah Chia; Haizhou Li; Hwee Tou Ng
    A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
  89. D07-1086 [bib]: Shane Bergsma; Qin Iris Wang
    Learning Noun Phrase Query Segmentation
  90. D07-1087 [bib]: Sander Canisius; Caroline Sporleder
    Bootstrapping Information Extraction from Field Books
  91. D07-1088 [bib]: Donghui Feng; Gully Burns; Eduard Hovy
    Extracting Data Records from Unstructured Biomedical Full Text
  92. D07-1089 [bib]: Ariel Schwartz; Anna Divoli; Marti Hearst
    Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
  93. D07-1090 [bib]: Thorsten Brants; Ashok C. Popat; Peng Xu; Franz J. Och; Jeffrey Dean
    Large Language Models in Machine Translation
  94. D07-1091 [bib]: Philipp Koehn; Hieu Hoang
    Factored Translation Models
  95. D07-1092 [bib]: Philippe Langlais; Alexandre Patry
    Translating Unknown Words by Analogical Learning
  96. D07-1093 [bib]: Alexandre Bouchard; Percy Liang; Thomas Griffiths; Dan Klein
    A Probabilistic Approach to Diachronic Phonology
  97. D07-1094 [bib]: Slav Petrov; Adam Pauls; Dan Klein
    Learning Structured Models for Phone Recognition
  98. D07-1095 [bib]: L. Karl Branting
    Inducing Search Keys for Name Filtering
  99. D07-1096 [bib]: Joakim Nivre; Johan Hall; Sandra Kübler; Ryan McDonald; Jens Nilsson; Sebastian Riedel; Deniz Yuret
    The CoNLL 2007 Shared Task on Dependency Parsing
  100. D07-1097 [bib]: Johan Hall; Jens Nilsson; Joakim Nivre; Gülsen Eryigit; Beáta Megyesi; Mattias Nilsson; Markus Saers
    Single Malt or Blended? A Study in Multilingual Parser Optimization
  101. D07-1098 [bib]: Xiangyu Duan; Jun Zhao; Bo Xu
    Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing
  102. D07-1099 [bib]: Ivan Titov; James Henderson
    Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
  103. D07-1100 [bib]: Tetsuji Nakagawa
    Multilingual Dependency Parsing Using Global Features
  104. D07-1101 [bib]: Xavier Carreras
    Experiments with a Higher-Order Projective Dependency Parser
  105. D07-1102 [bib]: Keith Hall; Jiri Havelka; David A. Smith
    Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking
  106. D07-1103 [bib]: Howard Johnson; Joel Martin; George Foster; Roland Kuhn
    Improving Translation Quality by Discarding Most of the Phrasetable
  107. D07-1104 [bib]: Adam Lopez
    Hierarchical Phrase-Based Translation with Suffix Arrays
  108. D07-1105 [bib]: Wolfgang Macherey; Franz J. Och
    An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
  109. D07-1106 [bib]: Jian-Cheng Wu; Jason S. Chang
    Learning to Find English to Chinese Transliterations on the Web
  110. D07-1107 [bib]: Rion Snow; Sushant Prakash; Daniel Jurafsky; Andrew Y. Ng
    Learning to Merge Word Senses
  111. D07-1108 [bib]: Junfu Cai; Wee Sun Lee; Yee Whye Teh
    Improving Word Sense Disambiguation Using Topic Features
  112. D07-1109 [bib]: Jordan Boyd-Graber; David Blei; Xiaojin Zhu
    A Topic Model for Word Sense Disambiguation
  113. D07-1110 [bib]: Aline Villavicencio; Valia Kordoni; Yi Zhang; Marco Idiart; Carlos Ramisch
    Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering
  114. D07-1111 [bib]: Kenji Sagae; Jun’ichi Tsujii
    Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
  115. D07-1112 [bib]: Mark Dredze; John Blitzer; Partha Pratim Talukdar; Kuzman Ganchev; João Graca; Fernando Pereira
    Frustratingly Hard Domain Adaptation for Dependency Parsing
  116. D07-1113 [bib]: Soo-Min Kim; Eduard Hovy
    Crystal: Analyzing Predictive Opinions on the Web
  117. D07-1114 [bib]: Nozomi Kobayashi; Kentaro Inui; Yuji Matsumoto
    Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
  118. D07-1115 [bib]: Nobuhiro Kaji; Masaru Kitsuregawa
    Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents
  119. D07-1116 [bib]: Nizar Habash; Ryan Gabbard; Owen Rambow; Seth Kulick; Mitch Marcus
    Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
  120. D07-1117 [bib]: Zhongqiang Huang; Mary Harper; Wen Wang
    Mandarin Part-of-Speech Tagging and Discriminative Reranking
  121. D07-1118 [bib]: John Miller; Manabu Torii; K. Vijay-Shanker
    Building Domain-Specific Taggers without Annotated (Domain) Data
  122. D07-1119 [bib]: Giuseppe Attardi; Felice Dell’Orletta; Maria Simi; Atanas Chanev; Massimiliano Ciaramita
    Multilingual Dependency Parsing and Domain Adaptation using DeSR
  123. D07-1120 [bib]: Eckhard Bick
    Hybrid Ways to Improve Domain Independence in an ML Dependency Parser
  124. D07-1121 [bib]: Sander Canisius; Erik Tjong Kim Sang
    A Constraint Satisfaction Approach to Dependency Parsing
  125. D07-1122 [bib]: Wenliang Chen; Yujie Zhang; Hitoshi Isahara
    A Two-Stage Parser for Multilingual Dependency Parsing
  126. D07-1123 [bib]: Richard Johansson; Pierre Nugues
    Incremental Dependency Parsing Using Online Learning
  127. D07-1124 [bib]: Prashanth Reddy Mannem
    Online Learning for Deterministic Dependency Parsing
  128. D07-1125 [bib]: Svetoslav Marinov
    Covington Variations
  129. D07-1126 [bib]: Le-Minh Nguyen; Akira Shimazu; Phuong-Thai Nguyen; Xuan-Hieu Phan
    A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
  130. D07-1127 [bib]: Michael Schiehlen; Kristina Spranger
    Global Learning of Labeled Dependency Trees
  131. D07-1128 [bib]: Gerold Schneider; Kaarel Kaljurand; Fabio Rinaldi; Tobias Kuhn
    Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
  132. D07-1129 [bib]: Nobuyuki Shimizu; Hiroshi Nakagawa
    Structural Correspondence Learning for Dependency Parsing
  133. D07-1130 [bib]: Rebecca Watson; Ted Briscoe
    Adapting the RASP System for the CoNLL07 Domain-Adaptation Task
  134. D07-1131 [bib]: Yu-Chieh Wu; Jie-Chi Yang; Yue-Shi Lee
    Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines


  1. Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)

  2. W06-29 [bib]: Entire Volume
  3. W06-2900 [bib]: Front Matter

  4. W06-2901 [bib]: Walter Daelemans
    A Mission for Computational Natural Language Learning
  5. W06-2902 [bib]: Ivan Titov; James Henderson
    Porting Statistical Parsers with Data-Defined Kernels
  6. W06-2903 [bib]: Slav Petrov; Leon Barrett; Dan Klein
    Non-Local Modeling with a Mixture of PCFGs
  7. W06-2904 [bib]: Qin Iris Wang; Colin Cherry; Dan Lizotte; Dale Schuurmans
    Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization
  8. W06-2905 [bib]: Willem Zuidema
    What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions.
  9. W06-2906 [bib]: Nikesh Garera; David Yarowsky
    Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora
  10. W06-2907 [bib]: Oren Glickman; Ido Dagan; Walter Daelemans; Mikaela Keller; Samy Bengio
    Investigating Lexical Substitution Scoring for Subtitle Generation
  11. W06-2908 [bib]: Jun'ichi Kazama; Kentaro Torisawa
    Semantic Role Recognition Using Kernels on Weighted Marked Ordered Labeled Trees
  12. W06-2909 [bib]: Alessandro Moschitti; Daniele Pighin; Roberto Basili
    Semantic Role Labeling via Tree Kernel Joint Inference
  13. W06-2910 [bib]: Sabine Schulte im Walde
    Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification?
  14. W06-2911 [bib]: Rie Kubota Ando
    Applying Alternating Structure Optimization to Word Sense Disambiguation
  15. W06-2912 [bib]: Rens Bod
    Unsupervised Parsing with U-DOP
  16. W06-2913 [bib]: Michaela Atterer; Hinrich Schütze
    A Lattice-Based Framework for Enhancing Statistical Parsers with Information from Unlabeled Corpora
  17. W06-2914 [bib]: Maria Georgescul; Alexander Clark; Susan Armstrong
    Word Distributions for Thematic Segmentation in a Support Vector Machine Approach
  18. W06-2915 [bib]: Wei-Hao Lin; Theresa Wilson; Janyce Wiebe; Alexander Hauptmann
    Which Side are You on? Identifying Perspectives at the Document and Sentence Levels
  19. W06-2916 [bib]: David J. Brooks
    Unsupervised Grammar Induction by Distribution and Attachment
  20. W06-2917 [bib]: Alexander Clark; Rémi Eyraud
    Learning Auxiliary Fronting with Grammatical Inference
  21. W06-2918 [bib]: Andrew Smith; Miles Osborne
    Using Gazetteers in Discriminative Information Extraction
  22. W06-2919 [bib]: Partha Pratim Talukdar; Thorsten Brants; Mark Liberman; Fernando Pereira
    A Context Pattern Induction Method for Named Entity Extraction
  23. W06-2920 [bib]: Sabine Buchholz; Erwin Marsi
    CoNLL-X Shared Task on Multilingual Dependency Parsing
  24. W06-2921 [bib]: Yuval Krymolowski
    The Treebanks Used in the Shared Task
  25. W06-2922 [bib]: Giuseppe Attardi
    Experiments with a Multilanguage Non-Projective Dependency Parser
  26. W06-2923 [bib]: Eckhard Bick
    LingPars, a Linguistically Inspired, Language-Independent Machine Learner for Dependency Treebanks
  27. W06-2924 [bib]: Sander Canisius; Toine Bogers; Antal van den Bosch; Jeroen Geertzen; Erik Tjong Kim Sang
    Dependency Parsing by Inference over High-recall Dependency Predictions
  28. W06-2925 [bib]: Xavier Carreras; Mihai Surdeanu; Lluís Màrquez
    Projective Dependency Parsing with Perceptron
  29. W06-2926 [bib]: Ming-Wei Chang; Quang Do; Dan Roth
    A Pipeline Model for Bottom-Up Dependency Parsing
  30. W06-2927 [bib]: Yuchang Cheng; Masayuki Asahara; Yuji Matsumoto
    Multi-lingual Dependency Parsing at NAIST
  31. W06-2928 [bib]: Simon Corston-Oliver; Anthony Aue
    Dependency Parsing with Reference to Slovene, Spanish and Swedish
  32. W06-2929 [bib]: Markus Dreyer; David A. Smith; Noah A. Smith
    Vine Parsing and Minimum Risk Reranking for Speed and Precision
  33. W06-2930 [bib]: Richard Johansson; Pierre Nugues
    Investigating Multilingual Dependency Parsing
  34. W06-2931 [bib]: Ting Liu; Jinshan Ma; Huijia Zhu; Sheng Li
    Dependency Parsing Based on Dynamic Local Optimization
  35. W06-2932 [bib]: Ryan McDonald; Kevin Lerman; Fernando Pereira
    Multilingual Dependency Analysis with a Two-Stage Discriminative Parser
  36. W06-2933 [bib]: Joakim Nivre; Johan Hall; Jens Nilsson; Gül sen Eryi git; Svetoslav Marinov
    Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines
  37. W06-2934 [bib]: Sebastian Riedel; Ruket Cakc; Ivan Meza-Ruiz
    Multi-lingual Dependency Parsing with Incremental Integer Linear Programming
  38. W06-2935 [bib]: Michael Schiehlen; Kristina Spranger
    Language Independent Probabilistic Context-Free Parsing Bolstered by Machine Learning
  39. W06-2936 [bib]: Nobuyuki Shimizu
    Maximum Spanning Tree Algorithm for Non-projective Labeled Dependency Parsing
  40. W06-2937 [bib]: Yu-Chieh Wu; Yue-Shi Lee; Jie-Chi Yang
    The Exploration of Deterministic and Efficient Dependency Parsing
  41. W06-2938 [bib]: Deniz Yuret
    Dependency Parsing as a Classication Problem


  1. Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)

  2. W05-06 [bib]: Entire Volume
  3. W05-0600 [bib]: Front Matter

  4. W05-0601 [bib]: Roberto Basili; Marco Cammisa; Alessandro Moschitti
    Effective use of WordNet Semantics via Kernel-Based Learning
  5. W05-0602 [bib]: Ruifang Ge; Raymond Mooney
    A Statistical Semantic Parser that Integrates Syntax and Semantics
  6. W05-0603 [bib]: Preslav Nakov; Marti Hearst
    Search Engine Statistics Beyond the n-Gram: Application to Noun Compound Bracketing
  7. W05-0604 [bib]: Dayne Freitag; Matthias Blume; John Byrnes; Edmond Chow; Sadik Kapadia; Richard Rohwer; Zhiqiang Wang
    New Experiments in Distributional Representations of Synonymy
  8. W05-0605 [bib]: Cheng Niu; Wei Li; Rohini K. Srihari; Huifeng Li
    Word Independent Context Pair Classification Model for Word Sense Disambiguation
  9. W05-0606 [bib]: Wesley Mackay; Grzegorz Kondrak
    Computing Word Similarity and Identifying Cognates with Pair Hidden Markov Models
  10. W05-0607 [bib]: Avik Sarkar; Paul H. Garthwaite; Anne De Roeck
    A Bayesian Mixture Model for Term Re-occurrence and Burstiness
  11. W05-0608 [bib]: Alfio Gliozzo; Carlo Strapparava
    Domain Kernels for Text Categorization
  12. W05-0609 [bib]: Xin Li; Dan Roth
    Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification
  13. W05-0610 [bib]: Yaoyong Li; Kalina Bontcheva; Hamish Cunningham
    Using Uneven Margins SVM and Perceptron for Information Extraction
  14. W05-0611 [bib]: Antal van den Bosch; Walter Daelemans
    Improving Sequence Segmentation Learning by Predicting Trigrams
  15. W05-0612 [bib]: Colin Cherry; Shane Bergsma
    An Expectation Maximization Approach to Pronoun Resolution
  16. W05-0613 [bib]: Jason Baldridge; Alex Lascarides
    Probabilistic Head-Driven Parsing for Discourse Structure
  17. W05-0614 [bib]: Michael Fleischman; Deb Roy
    Intentional Context in Situated Natural Language Learning
  18. W05-0615 [bib]: Sharon Goldwater; Mark Johnson
    Representational Bias in Unsupervised Learning of Syllable Structure
  19. W05-0616 [bib]: Nicolas Stroppa; François Yvon
    An Analogical Learner for Morphological Analysis
  20. W05-0617 [bib]: Dayne Freitag
    Morphology Induction from Term Clusters
  21. W05-0618 [bib]: Tomasz Marciniak; Michael Strube
    Beyond the Pipeline: Discrete Optimization in NLP
  22. W05-0619 [bib]: Ben Hachey; Beatrice Alex; Markus Becker
    Investigating the Effects of Selective Sampling on the Annotation Task
  23. W05-0620 [bib]: Xavier Carreras; Lluís Màrquez
    Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling
  24. W05-0621 [bib]: Akshar Bharati; Sriram Venkatapathy; Prashanth Reddy
    Inferring Semantic Roles Using Sub-Categorization Frames and Maximum Entropy Model
  25. W05-0622 [bib]: Trevor Cohn; Philip Blunsom
    Semantic Role Labelling with Tree Conditional Random Fields
  26. W05-0623 [bib]: Aria Haghighi; Kristina Toutanova; Christopher Manning
    A Joint Model for Semantic Role Labeling
  27. W05-0624 [bib]: Richard Johansson; Pierre Nugues
    Sparse Bayesian Classification of Predicate Arguments
  28. W05-0625 [bib]: Peter Koomen; Vasin Punyakanok; Dan Roth; Wen-tau Yih
    Generalized Inference with Multiple Semantic Role Labeling Systems
  29. W05-0626 [bib]: Chi-San Lin; Tony C. Smith
    Semantic Role Labeling via Consensus in Pattern-Matching
  30. W05-0627 [bib]: Ting Liu; Wanxiang Che; Sheng Li; Yuxuan Hu; Huaijun Liu
    Semantic Role Labeling System Using Maximum Entropy Classifier
  31. W05-0628 [bib]: Lluís Màrquez; Pere Comas; Jesús Giménez; Neus Català
    Semantic Role Labeling as Sequential Tagging
  32. W05-0629 [bib]: Tomohiro Mitsumori; Masaki Murata; Yasushi Fukuda; Kouichi Doi; Hirohumi Doi
    Semantic Role Labeling Using Support Vector Machines
  33. W05-0630 [bib]: Alessandro Moschitti; Ana-Maria Giuglea; Bonaventura Coppola; Roberto Basili
    Hierarchical Semantic Role Labeling
  34. W05-0631 [bib]: Necati Ercan Ozgencil; Nancy McCracken
    Semantic Role Labeling Using libSVM
  35. W05-0632 [bib]: Kyung-Mi Park; Hae-Chang Rim
    Maximum Entropy Based Semantic Role Labeling
  36. W05-0633 [bib]: Simone Paolo Ponzetto; Michael Strube
    Semantic Role Labeling Using Lexical Statistical Information
  37. W05-0634 [bib]: Sameer Pradhan; Kadri Hacioglu; Wayne Ward; James H. Martin; Daniel Jurafsky
    Semantic Role Chunking Combining Complementary Syntactic Views
  38. W05-0635 [bib]: Mihai Surdeanu; Jordi Turmo
    Semantic Role Labeling Using Complete Syntactic Analysis
  39. W05-0636 [bib]: Charles Sutton; Andrew McCallum
    Joint Parsing and Semantic Role Labeling
  40. W05-0637 [bib]: Erik Tjong Kim Sang; Sander Canisius; Antal van den Bosch; Toine Bogers
    Applying Spelling Error Correction Techniques for Improving Semantic Role Labelling
  41. W05-0638 [bib]: Tzong-Han Tsai; Chia-Wei Wu; Yu-Chun Lin; Wen-Lian Hsu
    Exploiting Full Parsing Information to Label Semantic Roles Using an Ensemble of ME and SVM via Integer Linear Programming
  42. W05-0639 [bib]: Szu-ting Yi; Martha Palmer
    The Integration of Syntactic Parsing and Semantic Role Labeling


  1. Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004

  2. W04-2400: Front Matter

  3. W04-2401 [bib]: Dan Roth; Wen-tau Yih
    A Linear Programming Formulation for Global Inference in Natural Language Tasks
  4. W04-2402 [bib]: Rie Kubota Ando
    Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis
  5. W04-2403 [bib]: Alessandro Moschitti; Cosmin Adrian Bejan
    A Semantic Kernel for Predicate Argument Classification
  6. W04-2404 [bib]: Saif Mohammad; Ted Pedersen
    Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
  7. W04-2405 [bib]: Rada Mihalcea
    Co-training and Self-training for Word Sense Disambiguation
  8. W04-2406 [bib]: Amruta Purandare; Ted Pedersen
    Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces
  9. W04-2407 [bib]: Joakim Nivre; Johan Hall; Jens Nilsson
    Memory-Based Dependency Parsing
  10. W04-2408 [bib]: Hiroya Takamura; Yuji Matsumoto; Hiroyasu Yamada
    Modeling Category Structures with a Kernel Function
  11. W04-2409 [bib]: Fumiyo Fukumoto; Yoshimi Suzuki
    A Comparison of Manual and Automatic Constructions of Category Hierarchy for Classifying Large Corpora
  12. W04-2410 [bib]: Mark McLauchlan
    Thesauruses for Prepositional Phrase Attachment
  13. W04-2411 [bib]: Vivian Tsang; Suzanne Stevenson
    Calculating Semantic Distance between Word Sense Probability Distributions
  14. W04-2412 [bib]: Xavier Carreras; Lluís Màrquez
    Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling
  15. W04-2413 [bib]: Ulrike Baldewein; Katrin Erk; Sebastian Padó; Detlef Prescher
    Semantic Role Labelling With Chunk Sequences
  16. W04-2414 [bib]: Antal van den Bosch; Sander Canisius; Walter Daelemans; Iris Hendrickx; Erik Tjong Kim Sang
    Memory-based semantic role labeling: Optimizing features, algorithm, and output
  17. W04-2415 [bib]: Xavier Carreras; Lluís Màrquez; Grzegorz Chrupała
    Hierarchical Recognition of Propositional Arguments with Perceptrons
  18. W04-2416 [bib]: Kadri Hacioglu; Sameer Pradhan; Wayne Ward; James H. Martin; Daniel Jurafsky
    Semantic Role Labeling by Tagging Syntactic Chunks
  19. W04-2417 [bib]: Derrick Higgins
    A transformation-based approach to argument labeling
  20. W04-2418 [bib]: Beata Kouchnir
    A Memory-Based Approach for Semantic Role Labeling
  21. W04-2419 [bib]: Joon-Ho Lim; Young-Sook Hwang; So-Young Park; Hae-Chang Rim
    Semantic Role Labeling using Maximum Entropy Model
  22. W04-2420 [bib]: Kyung-Mi Park; Young-Sook Hwang; Hae-Chang Rim
    Two-Phase Semantic Role Labeling based on Support Vector Machines
  23. W04-2421 [bib]: Vasin Punyakanok; Dan Roth; Wen-tau Yih; Dav Zimak; Yuancheng Tu
    Semantic Role Labeling Via Generalized Inference Over Classifiers
  24. W04-2422 [bib]: Ken Williams; Christopher Dozier; Andrew McCulloh
    Learning Transformation Rules for Semantic Role Labeling
  25. W04-2423 [bib]: Christopher D. Manning
    Language Learning: Beyond Thunderdome
  26. W04-2424 [bib]: Martha Palmer
    Putting Meaning into Your Trees


  1. Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003

  2. W03-0400: Front Matter

  3. W03-0401 [bib]: Yusuke Miyao; Jun'ichi Tsujii
    A model of syntactic disambiguation based on lexicalized grammars
  4. W03-0402 [bib]: Libin Shen; Aravind K. Joshi
    An SVM-based voting algorithm with application to parse reranking
  5. W03-0403 [bib]: Jason Baldridge; Miles Osborne
    Active learning for HPSG parse selection
  6. W03-0404 [bib]: Ellen Riloff; Janyce Wiebe; Theresa Wilson
    Learning subjective nouns using extraction pattern bootstrapping
  7. W03-0405 [bib]: Gideon Mann; David Yarowsky
    Unsupervised Personal Name Disambiguation
  8. W03-0406 [bib]: Hiroyuki Shinnou; Minoru Sasaki
    Unsupervised learning of word sense disambiguation rules by estimating an optimum iteration number in the EM algorithm
  9. W03-0407 [bib]: Stephen Clark; James Curran; Miles Osborne
    Bootstrapping POS-taggers using unlabelled data
  10. W03-0408 [bib]: Tong Zhang; Fred Damerau; David Johnson
    Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem
  11. W03-0409 [bib]: Mihai Rotaru; Diane J. Litman
    Exceptionality and Natural Language Learning
  12. W03-0410 [bib]: Suzanne Stevenson; Eric Joanis
    Semi-supervised Verb Class Discovery Using Noisy Features
  13. W03-0411 [bib]: Tom O'Hara; Janyce Wiebe
    Preposition Semantic Classification via Treebank and FrameNet
  14. W03-0412 [bib]: Xin Li; Dan Roth; Yuancheng Tu
    Phrasenet: towards context sensitive lexical semantics
  15. W03-0413 [bib]: Simona Gandrabur; George Foster
    Confidence estimation for translation prediction
  16. W03-0414 [bib]: Katharina Probst
    Using 'smart' bilingual projection to feature-tag a monolingual dictionary
  17. W03-0415 [bib]: Scott Cederberg; Dominic Widdows
    Using LSA and Noun Coordination Information to Improve the Recall and Precision of Automatic Hyponymy Extraction
  18. W03-0416 [bib]: Takuya Matsuzaki; Yusuke Miyao; Jun'ichi Tsujii
    An efficient clustering algorithm for class-based language models
  19. W03-0417 [bib]: Yoshimasa Tsuruoka; Jun'ichi Tsujii
    Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint
  20. W03-0418 [bib]: Dominic R. Jones; Cynthia A. Thompson
    Identifying Events using Similarity and Context
  21. W03-0419 [bib]: Erik F. Tjong Kim Sang; Fien De Meulder
    Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
  22. W03-0420 [bib]: Oliver Bender; Franz Josef Och; Hermann Ney
    Maximum Entropy Models for Named Entity Recognition
  23. W03-0421 [bib]: Xavier Carreras; Lluís Márquez; Lluís Padró
    A Simple Named Entity Extractor using AdaBoost
  24. W03-0422 [bib]: Xavier Carreras; Lluís Márquez; Lluís Padró
    Learning a Perceptron-Based Named Entity Chunker via Online Recognition Feedback
  25. W03-0423 [bib]: Hai Leong Chieu; Hwee Tou Ng
    Named Entity Recognition with a Maximum Entropy Approach
  26. W03-0424 [bib]: James Curran; Stephen Clark
    Language Independent NER using a Maximum Entropy Tagger
  27. W03-0425 [bib]: Radu Florian; Abe Ittycheriah; Hongyan Jing; Tong Zhang
    Named Entity Recognition through Classifier Combination
  28. W03-0426 [bib]: James Hammerton
    Named Entity Recognition with Long Short-Term Memory
  29. W03-0427 [bib]: Iris Hendrickx; Antal van den Bosch
    Memory-based one-step named-entity recognition: Effects of seed list features, classifier stacking, and unannotated data
  30. W03-0428 [bib]: Dan Klein; Joseph Smarr; Huy Nguyen; Christopher D. Manning
    Named Entity Recognition with Character-Level Models
  31. W03-0429 [bib]: James Mayfield; Paul McNamee; Christine Piatko
    Named Entity Recognition using Hundreds of Thousands of Features
  32. W03-0430 [bib]: Andrew McCallum; Wei Li
    Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
  33. W03-0431 [bib]: Robert Munro; Daren Ler; Jon Patrick
    Meta-Learning Orthographic and Contextual Models for Language Independent Named Entity Recognition
  34. W03-0432 [bib]: Casey Whitelaw; Jon Patrick
    Named Entity Recognition Using a Character-based Probabilistic Approach
  35. W03-0433 [bib]: Dekai Wu; Grace Ngai; Marine Carpuat
    A Stacked, Voted, Stacked Model for Named Entity Recognition
  36. W03-0434 [bib]: Tong Zhang; David Johnson
    A Robust Risk Minimization based Named Entity Recognition System
  37. W03-0435 [bib]: Fien De Meulder; Walter Daelemans
    Memory-Based Named Entity Recognition using Unannotated Data


  1. COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)

  2. W02-2000: Front Matter

  3. W02-2001: Timothy Baldwin; Aline Villavicencio
    Extracting the Unextractable: A Case Study on Verb-particles
  4. W02-2002: William J. Black; Argyrios Vasilakopoulos
    Language Independent Named Entity Classification by modified Transformation-based Learning and by Decision Tree Induction
  5. W02-2003: John D. Burger; John C. Henderson; William T. Morgan
    Statistical Named Entity Recognizer Adaptation
  6. W02-2004: Xavier Carreras; Lluís Màrquez; Lluís Padró
    Named Entity Extraction using AdaBoost
  7. W02-2005: Liviu Ciortuz
    Learning Attribute Values in Typed-unification Grammars: On Generalised Rule Reduction
  8. W02-2006: Silviu Cucerzan; David Yarowsky
    Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day
  9. W02-2007: Silviu Cucerzan; David Yarowsky
    Language Independent NER using a Unified Model of Internal and Contextual Evidence
  10. W02-2008: James R. Curran; Miles Osborne
    A Very Very Large Corpus Doesn't Always Yield Reliable Estimates
  11. W02-2009: Ido Dagan; Zvika Marx; Eli Shamir
    Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora
  12. W02-2010: Radu Florian
    Named Entity Recognition as a House of Cards: Classifier Stacking
  13. W02-2011: Cyril Goutte; Hervé Déjean; Eric Gaussier; Nicola Cancedda; Jean-Michel Renders
    Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition
  14. W02-2012: Peter Juel Henrichsen
    GraSp: Grammar Learning from Unlabelled Speech Corpora
  15. W02-2013: Martin Jansche
    Named Entity Extraction with Conditional Markov Models and Classifiers
  16. W02-2014: Anna Korhonen; Yuval Krymolowski
    On the Robustness of Entropy-Based Similarity Measures in Evaluation of Subcategorization Acquisition Systems
  17. W02-2015: Yuval Krymolowski
    Distinguishing Easy and Hard Instances
  18. W02-2016: Taku Kudo; Yuji Matsumoto
    Japanese Dependency Analysis using Cascaded Chunking
  19. W02-2017: Wei-Hao Lin; Hsin-Hsi Chen
    Backward Machine Transliteration by Learning Phonetic Similarity
  20. W02-2018: Robert Malouf
    A Comparison of Algorithms for Maximum Entropy Parameter Estimation
  21. W02-2019: Robert Malouf
    Markov Models for Language-independent Named Entity Recognition
  22. W02-2020: Paul McNamee; James Mayfield
    Entity Extraction without Language-Specific Resources
  23. W02-2021: Rada Mihalcea; Vivi Nastase
    Letter Level Learning for Language Independent Diacritics Restoration
  24. W02-2022: Jon Patrick; Casey Whitelaw; Robert Munro
    SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier
  25. W02-2023: Uwe Quasthoff; Christian Biemann; Christian Wolff
    Named Entity Learning and Verification: Expectation Maximization in Large Corpora
  26. W02-2024: Erik F. Tjong Kim Sang
    Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
  27. W02-2025: Erik F. Tjong Kim Sang
    Memory-Based Named Entity Recognition
  28. W02-2026: Charles Schafer; David Yarowsky
    Inducing Translation Lexicons via Diverse Similarity Measures and Bridge Languages
  29. W02-2027: S. H. Srinivasan
    Features for Unsupervised Document Classification
  30. W02-2028: Hiroya Takamura; Yuji Matsumoto
    Two-dimensional Clustering for Text Categorization
  31. W02-2029: Koichi Takeuchi; Nigel Collier
    Use of Support Vector Machines in Extended Named Entity Recognition
  32. W02-2030: Kristina Toutanova; Christopher D. Manning
    Feature Selection for a Rich HPSG Grammar Using Decision Trees
  33. W02-2031: Koji Tsukamoto; Yutaka Mitsuishi; Manabu Sassano
    Learning with Multiple Stacking for Named Entity Recognition
  34. W02-2032: Jorn Veenstra; Frank Henrik Müller; Tylman Ule
    Topological Field Chunking for German
  35. W02-2033: Aline Villavicencio
    Learning to Distinguish PP Arguments from Adjuncts
  36. W02-2034: Janyce Wiebe; Theresa Wilson
    Learning to Disambiguate Potentially Subjective Expressions
  37. W02-2035: Dekai Wu; Grace Ngai; Marine Carpuat; Jeppe Larsen; Yongsheng Yang
    Boosting for Named Entity Recognition


  1. Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)

  2. W01-0700: Front Matter

  3. W01-0701: Radu Florian; Grace Ngai
    Multidimensional transformation-based learning
  4. W01-0702: James Hammerton; Erik F. Tjong Kim Sang
    Combining a self-organising map with memory-based learning
  5. W01-0703: Eneko Agirre; David Martinez
    Learning class-to-class selectional preferences
  6. W01-0704: MaximilianoSaiz-Noeda; Armando Suárez; Manuel Palomar
    Semantic pattern learning through maximum entropy-based WSD technique
  7. W01-0705: Vivian Tsang; Suzanne Stevenson
    Automatic verb classification using multilingual resources
  8. W01-0706: Xin Li; Dan Roth
    Exploring evidence for shallow parsing
  9. W01-0707: Eric Gaussier; Nicola Cancedda
    Probabilistic models for PP-attachment resolution and NP analysis
  10. W01-0708: Erik F. Tjong Kim Sang; Hervé Déjean
    Introduction to the CoNLL-2001 shared task: clause identification
  11. W01-0709: Andrew Estabrooks; Nathalie Japkowicz
    A mixture-of-experts framework for text classification
  12. W01-0710: Rebecca Hwa
    On minimizing training corpus for parser acquisition
  13. W01-0711: Rémi Zajac
    Morpholog: Constrained and Supervised Learning of Morphology
  14. W01-0712: John Nerbonne; Anja Belz; Nicola Cancedda; Hervé Déjean; James Hammerton; Rob Koeling; Stasinos Konstantopoulos; Miles Osborne; Franck Thollard; Erik F. Tjong Kim Sang
    Learning Computational Grammars
  15. W01-0713: Alexander Clark
    Unsupervised induction of stochastic context-free grammars using distributional clustering
  16. W01-0714: Dan Klein; Christopher D. Manning
    Distributional phrase structure induction
  17. W01-0715: Paola Merlo; Matthias Leybold
    Automatic distinction of arguments and modifiers: the case of prepositional phrases
  18. W01-0716: Constantin Orasan; Evans Richard
    Learning to identify animate references
  19. W01-0717: Sven Hartrumpf
    Coreference resolution with syntactico-semantic rules and corpus statistics
  20. W01-0718: Michael Carl
    Inducing probabilistic invertible translation grammars from aligned texts
  21. W01-0719: Smaranda Muresan; Evelyne Tzoukermann; Judith L. Klavans
    Combining linguistic and machine learning techniques for email summarization
  22. W01-0720: Stephen Watkinson; Suresh Manandhar
    A psychologically plausible and computationally effective approach to learning syntax
  23. W01-0721: Jon D. Patrick; Ishaan Goyal
    Boosted decision graphs for NLP learning tasks
  24. W01-0722: James Hammerton
    Clause identification with long short-term memory
  25. W01-0723: Hervé Déjean
    Using ALLiS for clausing
  26. W01-0724: Erik F. Tjong Kim Sang
    Memory-based clause identification
  27. W01-0725: Antonio Molina; Ferran Pla
    Clause detection using HMM
  28. W01-0726: Xavier Carreras; Lluís Màrquez
    Boosting trees for clause splitting


  1. Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop

  2. W00-0700: Front Matter

  3. W00-0701: Dan Roth
    Learning in Natural Language: Theory and Algorithmic Approaches
  4. W00-0702: Nicola Cancedda; Christer Samuelsson
    Corpus-Based Grammar Specialization
  5. W00-0703: R.I. Damper Image; Y. Marchand
    Pronunciation by Analogy in Normal and Impaired Readers
  6. W00-0704: Guy De Pauw; Walter Daelemans
    The Role of Algorithm Bias vs Information Source in Learning Algorithms for Morphosyntactic Disambiguation
  7. W00-0705: John Elliot; Eric Atwell; Bill Whyte
    Increasing our Ignorance' of Language: Identifying Language Structure in an Unknown 'Signal'
  8. W00-0706: Gerard Escudero; Lluís Màrquez; German Rigau
    A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
  9. W00-0707: George Foster
    Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation Model
  10. W00-0708: Guido Minnen; Francis Bond; Ann Copestake
    Memory-Based Learning for Article Generation
  11. W00-0709: Tony Mullen; Miles Osborne
    Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars
  12. W00-0710: Stephan Raaijmakers
    Learning Distributed Linguistic Classes
  13. W00-0711: William Gregory Sakas
    Modeling the Effect of Cross-Language Ambiguity on Human Syntax Acquisition
  14. W00-0712: Patrick Schone; Daniel Jurafsky
    Knowledge-Free Induction of Morphology Using Latent Semantic Analysis
  15. W00-0713: Antal van den Bosch
    Using Induced Rules as Complex Features in Memory-Based Language Learning
  16. W00-0714: F. Amayat; J. M. Benedi
    Using Perfect Sampling in Parameter Estimation of a Whole Sentence Maximum Entropy Language Model
  17. W00-0715: Konstantin Biatov
    Experiments on Unsupervised Learning for Extracting Relevant Fragments from Spoken Dialog Corpus
  18. W00-0716: Laurent Blin; Laurent Miclet
    Generating Synthetic Speech Prosody with Lazy Learning in Tree Structures
  19. W00-0717: Alexander Clark
    Inducing Syntactic Categories by Context Distribution Clustering
  20. W00-0718: Hervé Déjean
    ALLiS: a Symbolic Learning System for Natural Language Learning
  21. W00-0719: José M. Gómez Hidalgo; Manual Maña López; Enrique Puertas Sanz
    Combining Text and Heuristics for Cost-Sensitive Spam Filtering
  22. W00-0720: Anne Kool; Walter Daelemans; Jakub Zavrel
    Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing
  23. W00-0721: Vasin Punyakanok; Dan Roth
    Shallow Parsing by Inferencing with Classifiers
  24. W00-0722: Patrick Ruch; Robert Baud; Pierrette Bouillon; Gilbert Robert
    Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models
  25. W00-0723: J. Turmo; H. Rodriguez
    Learning IE Rules for a Set of Related Concepts
  26. W00-0724: Hans van Halteren
    A Default First Order Family Weight Determination Procedure for WPDV Models
  27. W00-0725: Jose Luis Verdú-Mas; Jorge Calera-Rubio; Rafael C. Carrasco
    A Comparison of PCFG Models
  28. W00-0726: Erik F. Tjong Kim Sang; Sabine Buchholz
    Introduction to the CoNLL-2000 Shared Task Chunking
  29. W00-0727: Hervé Déjean
    Learning Syntactic Structures with XML
  30. W00-0728: Christer Johansson
    A Context Sensitive Maximum Likelihood Approach to Chunking
  31. W00-0729: Rob Koeling
    Chunking with Maximum Entropy Models
  32. W00-0730: Taku Kudoh; Yuji Matsumoto
    Use of Support Vector Learning for Chunk Identification
  33. W00-0731: Miles Osborne
    Shallow Parsing as Part-of-Speech Tagging
  34. W00-0732: Ferran Pla; Antonio Molina; Natividad Prieto
    Improving Chunking by Means of Lexical-Contextual Information in Statistical Language Models
  35. W00-0733: Erik F. Tjong Kim Sang
    Text Chunking by System Combination
  36. W00-0734: Hans van Halteren
    Chunking with WPDV Models
  37. W00-0735: Jorn Veenstra; Antal van den Bosch
    Single-Classifier Memory-Based Phrase Chunking
  38. W00-0736: Marc Vilain; David Day
    Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL Task
  39. W00-0737: GuoDong Zhou; Jian Su; TongGuan Tey
    Hybrid Text Chunking
  40. W00-0738: Jörg-Uwe Kietz; Raphael Volz; Alexander Maedche
    Extracting a Domain-Specific Ontology from a Corporate Intranet
  41. W00-0739: Pieter Adriaans; Erik de Haas
    Learning from a Substructural Perspective
  42. W00-0740: James Cussens; Stephen Pulman
    Incorporating Linguistics Constraints into Inductive Logic Programming
  43. W00-0741: F. Esposito; S. Ferilli; N. Fanizzi; G. Semeraro
    Learning from Parsed Sentences with INTHELEX
  44. W00-0742: Pascale Sébillot; Pierrette Bouillon; Cecile Fabre
    Inductive Logic Programming for Corpus-Based Acquisition of Semantic Lexicons
  45. W00-0743: Aline Villavicencio
    The Acquisition of Word Order by a Computational Learning System
  46. W00-0744: Eva Zácková; Luboš Popelínský; Miloš Nepil
    Recognition and Tagging of Compound Verb Groups in Czech


  1. EACL 1999: CoNLL-99 Computational Natural Language Learning

  2. W99-0700: Front Matter

  3. W99-0701: Chunyu Kitt; Yorick Wilks
    Unsupervised Learning of Word Boundary with Description Length Gain
  4. W99-0702: Andrd Kemp
    Experiments in Unsupervised Entropy-Based Corpus Segmentation
  5. W99-0703: Kemal Oflazer; Sergei Nirenburg
    Practical Bootstrapping of Morphological Analyzers
  6. W99-0704: Stephan Raaijmakers
    Finding Representations for Memory-Based Language Learning
  7. W99-0705: Torbjorn Lager
    The u-TBL System: Logic Programming Tools for Transformation-Based Learning
  8. W99-0706: Lisa Ferro; Marc Vilain; Alexander Yeh
    Learning Transformation Rules to Find Grammatical Relations
  9. W99-0707: Walter Daelemans; Sabine Buchholz; Jorn Veenstra
    Memory-Based Shallow Parsing
  10. W99-0708: Miles Osborne
    MDL-based DCG Induction for NP Identification


  1. New Methods in Language Processing and Computational Natural Language Learning

  2. W98-1200: Front Matter

  3. W98-1201: Walter Daelemans
  4. W98-1202: Michael Towsey; Joachim Diederich; lngo Schellhammer; Stephan Chalup; Claudia Brugman
    Natural Language Learning by Recurrent Neural Networks: A Comparison wRh probabilistic approaches
  5. W98-1203: Sandra Kubler
    Learning a Lexicalized Grammar for German
  6. W98-1204: Rene Schneider
    A Lexically-Intensive Algorithm for Domain-Specific Knowlegde Acquisition
  7. W98-1205: Andrd Kempe
    Look-Back and Look-Ahead in the Conversion of Hidden Markov Models into Finite State Transducers
  8. W98-1206: Mark Johnson
    The effect of alternative tree epresentatmns on tree bank grammars
  9. W98-1207: Thorsten Brants; Wojciech Skut
    Automation of Treebank Annotation
  10. W98-1208: Hamish Cunningham; Mark Stevenson; Yorick Wilks
    Implementing a Sense Tagger in a General Architecture for Text Engineering
  11. W98-1209: Ingo Schellhammer; Joachim Diederich; Michael Towsey; Claudia Brugman
    Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task
  12. W98-1210: Jason L. Hutchens; Michael D. Alder
    Finding Structure via Compression
  13. W98-1211: Christer Samuelsson
    Linguistic Theory in Statistical Language Learning
  14. W98-1212: Richard McConachy; Kevin B. Korb; Ingrid Zukerman
    A Bayesian Approach to Automating Argumentation
  15. W98-1213: Stephen J, Green
    Automatically generating hypertext in newspaper articles by computing semantic relatedness
  16. W98-1214: Emin Erkan Korkmaz; Gokturk Ucoluk
  17. W98-1215: Patrick Saint-Dizier
    Sense Variation and Lexical Semantics Generative Operations
  18. W98-1216: Harold Somers
    An Attempt to Use Weighted Cusums to Identify Sublanguages
  19. W98-1217: Patrick Juola
    Cross-Entropy and Linguistic Typology
  20. W98-1218: David M. W. Power
    Applications and Explanations of Zipf's Law
  21. W98-1219: Edmund Yuen; Greg Chase
    Proper Name Classification in an Information Extraction Toolset
  22. W98-1220: Robert Steele; David Powers
    Evolution and Evaluation of Document Retrieval Queries
  23. W98-1221: Ilyas Cicekli; Turgay Korkrmaz
    Generatlon of Simple Turkish Sentences with Systemic-Functional Grammar
  24. W98-1222: Ian Thomas; Ingrid Zukerman; Bhavani Raskutti
    Extracting Phoneme Pronunciation Information from Corpora
  25. W98-1223: Antal van den Bosch; Ton Weijters; Walter Daelemans
    Modularity in Inductively-Learned Word Pronunciation Systems
  26. W98-1224: Antal van den Bosch; Walter Daelemans
    Do Not Forget: Full Memory in Memory-Based Learning of Word Pronunciation
  27. W98-1225: Vera Kamphuis; Janos Sarbo
    Natural Language Concept Analysis
  28. W98-1226: J.Entwisle; D. M. W. Powers
    The Present Use of Statistics in the Evaluation of NLP Parsers
  29. W98-1227: Hiroki Imai; Hozumi Tanaka
    A Method of Incorporating Bigram Constraints into an LR Table and Its Effectiveness in Natural Language Processing
  30. W98-1228: James M. Hogan; Joachim Diederich; Gerard D. Finn
    Selective Attention and the Acquisition of Spatial Semantics
  31. W98-1229: Hideki Kozima; Akira Ito
    Towards Language Acquisition by an Attention-Sharing Robot
  32. W98-1230: Michael Carl
    A Constructivist Approach to Machine Translation
  33. W98-1231: Michael Carl; Antje Schmidt-Wigger
    Shallow Post Morphological Processing with KURD
  34. W98-1232: Erika F. de Lima
    Induction of a Stem Lexicon for Two-level Morphological Analysis
  35. W98-1233: Jason L. Hutchens; Michael D. Alder
    Introducing MegaHAL
  36. W98-1234: V.Bastin; D.Cordier
    Methods and tricks used in an attempt to pass the Turing Test
  37. W98-1235: David M. W. Powers
    The Total Turing Test and the Loebner Prize
  38. W98-1236: Zenshiro Kawasaki; Keiji Takida; Masato Tajima
    Language Model and Sentence Structure Manipulations for Natural Language Application Systems
  39. W98-1237: Bradley B. Custer
    Position Paper on Appropriate Audio/Visual Turing Test
  40. W98-1238: Tony C. Smith
    Learning Feature-Value Grammars from Plain Text
  41. W98-1239: Herve Dejean
    Morphemes as Necessary Concept for Structures Discovery from Untagged Corpora
  42. W98-1240: Christopher D. Manning
    The segmentation problem in morphology learning
  43. W98-1241: David M. W. Powers
    Reconciliation of Unsupervised Clustering, Segmentation and Cohesion
  44. W98-1242: Isabeile Tellier
    Syntactico-Semantic Learning of Categorial Grammars


  1. CoNLL97: Computational Natural Language Learning

  2. W97-1000: Front Matter

  3. W97-1001: Amit Bagga; Joyce Yue Chai
    A Trainable Message Understanding System
  4. W97-1002: Mary Elaine Califf; Raymond J. Mooney
    Relational Learning of Pattern-Match Rules for Information Extraction
  5. W97-1003: Wide R. Hogenhout; Yuji Matsumoto
    A Preliminary Study of Word Clustering Based on Syntactic Behavior
  6. W97-1004: Ji Donghong; He Jun; Huang Changning
    Learning New Compositions from Given Ones
  7. W97-1005: Mehmet Kayaalp; Ted Pedersen; Rebecca Bruce
    A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment
  8. W97-1006: Emin Erkan Korkmaz; Gokturk Ucoluk
  9. W97-1007: Montse Maritxalar; Arantza Diaz de Ilarraza; Maite Oronoz
    From Psycholinguistic Modelling of Interlanguage in Second Language Acquisition to a Computational Model
  10. W97-1008: Laura Mayfield Tomokiyo; Klaus Ries
    What makes a word: Learning base units in Japanese for speech recognition
  11. W97-1009: Ramin Charles Nakisa; Kim Plunkett
    Evolution of a Rapidly Learned Representation for Speech
  12. W97-1010: Miles Osborne; Ted Briscoe
    Learning Stochastic Categorial Grammars
  13. W97-1011: David M. W. Powers
    Learning and Application of Differential Grammars
  14. W97-1012: Jennifer Rodd
    Recurrent Neural-Network Learning of Phonological Regularities in Turkish
  15. W97-1013: K. Sima'an
    Explanation-Based Learning of Data-Oriented Parsing
  16. W97-1014: Christoph Tillmann; Hermann Ney
    Word Triggers and the EM Algorithm
  17. W97-1015: Werner Winiwarter; Yahiko Kambayashi
    A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
  18. W97-1016: Jakub Zavrel; Walter Daelemans; Jorn Veenstra
    Resolving PP attachment Ambiguities with Memory-Based Learning