Special Interest Group on Natural Language Learning (SIGNLL)

2011

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

2010

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

2009

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

2008

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

2007

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

2006

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

2005

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

2004

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

2003

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

2002

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

2001

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

2000

1. Fourth Conference on Computational Natural Language Learning and of 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; Lluis Marquez; 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: Herve Dejean
    ALLiS: a Symbolic Learning System for Natural Language Learning
21. W00-0719: Anne Kool ; Walter Daelemans ; Jakub Zavrel
    Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing
22. W00-0720: Vasin Punyakanok ; Dan Roth
    Shallow Parsing by Inferencing with Classifiers
23. W00-0721: Patrick Ruch ; Robert Baud ; Pierrette Bouillon ; Gilbert Robert
    Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models
24. W00-0722: J. Turmo ; H. Rodriguez
    Learning IE Rules for a Set of Related Concepts
25. W00-0723: Hans van Halteren
    A Default First Order Family Weight Determination Procedure for WPDV Models
26. W00-0724: Jose Luis Verdd-Mas ; Jorge Calera-Rubio ; Rafael C. Carrasco
    A Comparison of PCFG Models
27. W00-0725: Erik F. Tjong Kim Sang; Sabine Buchholz
    Introduction to the CoNLL-2000 Shared Task Chunking
28. W00-0726: Herve Dejean
    Learning Syntactic Structures with XML
29. W00-0727: Christer Johansson
    A Context Sensitive Maximum Likelihood Approach to Chunking
30. W00-0728: Rob Koeling
    Chunking with Maximum Entropy Models
31. W00-0729: Taku Kudoh; Yuji Matsumoto
    Use of Support Vector Learning for Chunk Identification
32. W00-0730: Miles Osborne
    Shallow Parsing as Part-of-Speech Tagging
33. W00-0731: Ferran Pla ; Antonio Molina ; Natividad Prieto
    Improving Chunking by Means of Lexical-Contextual Information in Statistical Language Models
34. W00-0732: Erik F. Tjong Kim Sang
    Text Chunking by System Combination
35. W00-0733: Hans van Halteren
    Chunking with WPDV Models
36. W00-0734: Jorn Veenstra ; Antal van den Bosch
    Single-Classifier Memory-Based Phrase Chunking
37. W00-0735: Marc Vilain; David Day
    Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL Task
38. W00-0736: GuoDong Zhou ; Jian Su ; TongGuan Tey
    Hybrid Text Chunking
39. W00-0737: Jorg-Uwe Kietz; Raphael Volz; Alexander Maedche
    Extracting a Domain-Specific Ontology from a Corporate Intranet
40. W00-0738: Pieter Adriaans; Erik de Haas
    Learning from a Substructural Perspective
41. W00-0739: James Cussens; Stephen Pulman
    Incorporating Linguistics Constraints into Inductive Logic Programming
42. W00-0740: Pascale Sebillot; Pierrette Bouillon; Cecile Fabre
    Inductive Logic Programming for Corpus-Based Acquisition of Semantic Lexicons
43. W00-0741: Aline Villavicencio
    The Acquisition of Word Order by a Computational Learning System
44. W00-0742: Eva Zackova; Lubos Popelinsky; Milos Nepil
    Recognition and Tagging of Compound Verb Groups in Czech

1999

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

1998

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

2. W98-1200: Front Matter

3. W98-1201: Walter Daelemans
   ABSTRACTION IS HARMFUL IN LANGUAGE LEARNING
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
    CHOOSING A DISTANCE METRIC FOR AUTOMATIC WORD CATEGORIZATION
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

1997

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
   METHOD FOR IMPROVING AUTOMATIC WORD CATEGORIZATION
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