The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

Held at the Portland Marriott Downtown Waterfront in
Portland, Oregon, USA, June 19-24, 2011

Conference Schedule Daily Overview

[Monday] [Tuesday] [Wednesday] [Thursday/Friday] [Full Program] [Student Session]

TimeEventLocation
9:00-12:30Beyond Structured Prediction: Inverse Reinforcement Learning
Hal Daume III		Marriott Mt. Hood
9:00-12:30Formal and Empirical Grammatical Inference
Jeffrey Heinz, Colin de la Higuera and Menno van Zaanen		Marriot Ballroom
Salons AB
9:00-12:30Web Search Queries as a Corpus
Marius Pasca		Marriott Ballroom
Salons HI
2:00-5:30Summarizing Text and Speech: Algorithms, Approaches and Issues
Ani Nenkova, Sameer Maskey, Yang Liu		Marriott Ballroom
Salons AB
2:00-5:30Rich Prior Knowledge in Learning for Natural Language Processing
Gregory Druck, Kuzman Ganchev, Joao Graca		Marriott Mt. Hood
2:00-5:30Dual Decomposition for Natural Language Processing
Michael Collins and Alexander M Rush		Marriott Ballroom
Salons HI
6:00-9:00Opening receptionMarriott Ballroom Level


Session TimeMarriott
Salon E		Marriott
Salons GHI		RiverPlace Ballroom
(Across St.)		Marriott
Salon F		Marriott Mt. Hood
8:45-9:00
9:00-10:00		Plenary session in Marriott Ballroom Salons EF
Welcome, Opening Session
Invited Talk, David Ferrucci: "Building Watson: An Overview of the DeepQA Project"
10:00-10:30 Coffee break
10:30-12:10 1-A
MT: Methods		 1-B
Machine Learning Methods 1		 1-C
Information Retrieval		 1-D
Sentiment Analysis /Opinion Mining 1		 1-E
Language Resource
12:10-2:00 Student lunch at Allie's American Grille, Marriott restaurant level
All others on their own for lunch
2:00-3:40 2-A
MT: Models and Evaluation		 2-B
Machine Learning Methods 2		 2-C
Linguistic Creativity		 2-D
Sentiment Analysis /Opinion Mining 2		 2-E
NLP for Web 2.0
3:40-4:10 Coffee break
4:10-5:50 3-A
Transliteration /Alignment		 3-B
Parsing 1		 3-C
Summarization		 3-D
Relation Extraction		 3-E
Semantics
6:00-8:30 Poster Session and Student Session
With buffet dinner at Portland World Trade Center
Session TimeMarriott
Salon E		Marriott
Salons GHI		RiverPlace Ballroom
(Across St.)		Marriott
Salon F		Marriott Mt. Hood
9:00-10:30 Plenary session in Marriott Ballroom Salons EF
Best Paper awards and talks
10:30-11:00 Coffee break
10:30-1:00 Demo session A, Located in Columbia/Willamette rooms, Marriott lobby level
Short paper sessions
11:00-12:15 5-A
Machine Learning Methods		 5-B
Phonology
Morphology and POS-Tagging 1		 5-C
Linguistic
Creativity		 5-D
Opinion Analysis and Textual / Spoken
Conversations		 5-E
Corpus /
Document Analysis
12:15-2:00 Lunch
1:30-4:00 Demo session B, Located in Columbia/Willamette rooms, Marriott lobby level
Short paper sessions
2:00-3:30 6-A
Machine Translation		 6-B
Syntax / Parsing		 6-C
Summarization and Generation		 6-D
Information
Extraction		 6-E
Semantics
3:30-4:00 Coffee Break
4:00-5:40 7-A
SMT: Phrase-based Models		 7-B
Parsing 2		 7-C
Spoken Language Processing		 7-D
Natural Language
Processing
Applications		 7-E
Coreference
Resolution
7:00-11:00 Banquet at the Mark Building of the Portland Art Museum
Session TimeMarriott
Salon E		Marriott
Salons GHI		RiverPlace Ballroom
(Across St.)		Marriott
Salon F		Marriott Mt. Hood
 
9:00-10:00
  		Plenary session in Marriott Ballroom Salons EF
Invited Talk, Lera Boroditsky: "How do the languages we speak shape the ways we think?"
10:00-10:30 Coffee break
10:30-12:10 8-A
SMT: Tree-based
Models		 8-B
Morphology/ POS Induction		 8-C
Error
Correction		 8-D
Information
Extraction		 8-E
Discourse
12:10-1:30 Lunch
1:30-3:00 ACL Business
Meeting 		 
3:00-3:30 Coffee Break
3:30-4:45 9-A
MT: Reordering
Models		 9-B
Grammar		 9-C
Generation/
Paraphrasing		 9-D
Event-Role
Extraction		 9-E
Knowledge Base
Extension
 
5:00-6:10 		Plenary session in Marriott Ballroom Salons EF
Lifetime Achievement Award and Closing
EventNameLocation
CoNLL:Fifteenth Conference on Computational Natural Language Learning (CoNLL 2011) Salon F
WS1: BioNLP 2011 Salon E
WS2: 5th Linguistics Annotation Workshop (LAW V) Salon D
WS3: Automatic Summarization for Different Genres, Media, and Languages Columbia Room
WS4: 2nd Workshop on Cognitive Modeling and Computational Linguistics (CMCL) Salon A
WS5: Workshop on Language in Social Media (LSM) Salons BC
WS6: Multiword Expressions: from Parsing and Generation to the Real World (MWE) Salons GH
WS7: Workshop on Relational Models of Semantics (RELMS) Eugene Room
WS8: Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation (SSST-5) Mt. Hood Room
WS9: TextGraphs-6: Graph-based Methods for Natural Language Processing Salon I


EventNameLocation
CoNLL: Fifteenth Conference on Computational Natural Language Learning (CoNLL 2011) Salon F
WS1: BioNLP 2011 Salon E
WS2: 5th Linguistics Annotation Workshop (LAW V) Salon D
WS10: 4th Workshop on Building and Using Comparable Corpora Salon I
WS11: DiSCo -- Distributional Semantics and Compositionality Salons BC
WS12: 6th Workshop on Innovative Use of NLP for Building Educational Applications Salons GH
WS13: Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) Eugene Room
WS14: Workshop on Monolingual Text-To-Text Generation (Text-To-Text-2011) Mt. Hood Room
WS15: 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA) Salon A


ACL-HLT 2011: Program

Monday, June 20, 2011
8:45-9:00    Opening Session
9:00-10:00    Invited Talk 1
   Building Watson: An Overview of the DeepQA Project
David Ferrucci
10:00-10:30    Coffee Break
10:30-12:10    Session 1-A - MT: Methods
Chair: Dekai Wu
   Session 1-A - A Word-Class Approach to Labeling PSCFG Rules for Machine Translation
Andreas Zollmann and Stephan Vogel
CMU
   Session 1-A - Deciphering Foreign Language
Sujith Ravi and Kevin Knight
USC Information Sciences Institute
   Session 1-A - Effective Use of Function Words for Rule Generalization in Forest-Based Translation
Xianchao Wu,  Takuya Matsuzaki,  Jun'ichi Tsujii
Computer Science, The University of Tokyo
   Session 1-A - Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
Ann Clifton and Anoop Sarkar
Simon Fraser University
10:30-12:10    Session 1-B - Machine Learning Methods 1
Chair: Alessandro Moschitti
   Session 1-B - Evaluating the Impact of Coder Errors on Active Learning
Ines Rehbein and Josef Ruppenhofer
Saarland University
   Session 1-B - A Fast and Accurate Method for Approximate String Search
Ziqi Wang1,  Gu Xu2,  Hang Li2,  Ming Zhang1
1Peking University, 2Microsoft Research Asia
   Session 1-B - Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
Ivan Titov
Saarland University
   Session 1-B - Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation
Alexander M. Rush1 and Michael Collins2
1MIT CSAIL, 2Department of Computer Science, Columbia University
10:30-12:10    Session 1-C - Information Retrieval
Chair: Silviu Cucerzan
   Session 1-C - Jigs and Lures: Associating Web Queries with Structured Entities
Patrick Pantel and Ariel Fuxman
Microsoft Research
   Session 1-C - Semi-Supervised SimHash for Efficient Document Similarity Search
Qixia Jiang and Maosong Sun
Tsinghua University
   Session 1-C - Joint Annotation of Search Queries
Michael Bendersky,  W. Bruce Croft,  David A. Smith
University of Massachusetts Amherst
   Session 1-C - Query Weighting for Ranking Model Adaptation
Peng Cai1,  Wei Gao2,  Aoying Zhou1,  Kam-Fai Wong3
1East China Normal University, 2The Chinese University of Hong Kong, 3The Chinese University of Hong Kong, MoE Key Laboratory on High Reliability Software Technology (CUHK Sub-Lab)
10:30-12:10    Session 1-D - Sentiment Analysis/Opinion Mining 1
Chair: Claire Cardie
   Session 1-D - Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification
Yulan He1,  Chenghua Lin2,  Harith Alani1
1The Open University, 2Exeter University
   Session 1-D - Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification
Danushka Bollegala1,  David Weir2,  John Carroll2
1The University of Tokyo, 2University of Sussex
   Session 1-D - Learning Word Vectors for Sentiment Analysis
Andrew L. Maas,  Raymond E. Daly,  Peter T. Pham,  Dan Huang,  Andrew Y. Ng,  Christopher Potts
Stanford University
   Session 1-D - Target-dependent Twitter Sentiment Classification
Long Jiang1,  Mo Yu2,  Ming Zhou1,  Xiaohua Liu1,  Tiejun Zhao2
1Microsoft Research Asia, 2Harbin Institute of Technology
10:30-12:10    Session 1-E - Language Resource
Chair: Ed Hovy
   Session 1-E - A Comprehensive Dictionary of Multiword Expressions
Kosho Shudo1,  Akira Kurahone2,  Toshifumi Tanabe1
1Fukuoka University, 2TechTran Ltd.
   Session 1-E - Multi-Modal Annotation of Quest Games in Second Life
Sharon Gower Small,  Jennifer Strommer-Galley,  Tomek Strzalkowski
ILS Institute, SUNY Albany
   Session 1-E - A New Dataset and Method for Automatically Grading ESOL Texts
Helen Yannakoudakis1,  Ted Briscoe1,  Ben Medlock2
1University of Cambridge, 2iLexIR Ltd
   Session 1-E - Collecting Highly Parallel Data for Paraphrase Evaluation
David Chen1 and William Dolan2
1The University of Texas at Austin, 2Microsoft Research
12:10 - 2:00    Lunch
2:00-3:40    Session 2-A - MT: Models & Evaluation
Chair: Michel Simard
   Session 2-A - A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
Ming Tan,  Wenli Zhou,  Lei Zheng,  Shaojun Wang
Wright State University
   Session 2-A - Goodness: A Method for Measuring Machine Translation Confidence
Nguyen Bach1,  Fei Huang2,  Yaser Al-Onaizan2
1CMU, 2IBM
   Session 2-A - MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles
Chi-kiu Lo and Dekai Wu
HKUST
   Session 2-A - An exponential translation model for target language morphology
Michael Subotin
Paxfire, Inc.
2:00-3:40    Session 2-B - Machine Learning Methods 2
Chair: Noah Smith
   Session 2-B - Bayesian Inference for Zodiac and Other Homophonic Ciphers
Sujith Ravi and Kevin Knight
USC Information Sciences Institute
   Session 2-B - Interactive Topic Modeling
Yuening Hu,  Jordan Boyd-Graber,  Brianna Satinoff
University of Maryland
   Session 2-B - Faster and Smaller N-Gram Language Models
Adam Pauls and Dan Klein
UC Berkeley
   Session 2-B - Learning to Win by Reading Manuals in a Monte-Carlo Framework
S.R.K Branavan1,  David Silver2,  Regina Barzilay1
1MIT, 2University College London
2:00-3:40    Session 2-C - Linguistic Creativity
Chair: Saif Mohamma
   Session 2-C - Creative Language Retrieval: A Robust Hybrid of Information Retrieval and Linguistic Creativity
Tony Veale
University College Dublin
   Session 2-C - Local Histograms of Character N-grams for Authorship Attribution
Hugo Jair Escalante1,  Thamar Solorio2,  Manuel Montes-y-Gomez3
1Universidad Autonoma de Nuevo leon, 2The University of Alabama at Birmingham, 3The University of Alabama at Birmingham and INAOE
   Session 2-C - Word Maturity: Computational Modeling of Word Knowledge
Kirill Kireyev and Thomas K Landauer
Pearson Education Knowledge Technologies
   Session 2-C - Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Myle Ott,  Yejin Choi,  Claire Cardie,  Jeffrey T. Hancock
Cornell University
2:00-3:40    Session 2-D - Sentiment Analysis/Opinion Mining 2
Chair: Janyce Wiebe
   Session 2-D - Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora
Bin Lu1,  Chenhao Tan2,  Claire Cardie2,  Benjamin K. Tsou3
1City University of Hong Kong, Hong Kong Institute of Education, 2Cornell University, 3Hong Kong Institute of Education, City University of Hong Kong
   Session 2-D - Content Models with Attitude
Christina Sauper,  Aria Haghighi,  Regina Barzilay
MIT
   Session 2-D - A Pilot Study of Opinion Summarization in Conversations
Dong Wang and Yang Liu
The University of Texas at Dallas
   Session 2-D - Contrasting Opposing Views of News Articles on Contentious Issues
Souneil Park1,  Kyung Soon Lee2,  Junehwa Song1
1KAIST, 2Chonbuk National Univ.
2:00-3:40    Session 2-E - NLP for Web 2.0
Chair: Smaranda Muresan
   Session 2-E - Event Discovery in Social Media Feeds
Edward Benson,  Aria Haghighi,  Regina Barzilay
MIT CSAIL
   Session 2-E - Recognizing Named Entities in Tweets
Xiaohua LIU1,  Shaodian ZHANG2,  Furu WEI3,  Ming ZHOU3
1HIT;MSRA, 2Shanghai Jiao Tong University, 3MSRA
   Session 2-E - Lexical Normalisation of Short Text Messages: Makn Sens a \#twitter
Bo Han and Timothy Baldwin
The University of Melbourne
   Session 2-E - Topical Keyphrase Extraction from Twitter
Xin Zhao1,  Jing Jiang2,  Jing He1,  Yang Song1,  Palakorn Achanauparp2,  Ee-Peng Lim2,  Xiaoming Li1
1Peking University, 2Singapore Management University
3:40-4:10    Coffee Break
4:10-5:50    Session 3-A - Transliteration/Alignment
Chair: Ming Zhou
   Session 3-A - How do you pronounce your name? Improving G2P with transliterations
Aditya Bhargava and Grzegorz Kondrak
University of Alberta
   Session 3-A - Unsupervised Word Alignment with Arbitrary Features
Chris Dyer,  Jonathan H. Clark,  Alon Lavie,  Noah A. Smith
Carnegie Mellon University
   Session 3-A - Model-Based Aligner Combination Using Dual Decomposition
John DeNero and Klaus Macherey
Google
   Session 3-A - An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment
Hassan Sajjad,  Alexander Fraser,  Helmut Schmid
Universitaet Stuttgart
4:10-5:50    Session 3-B - Parsing 1
Chair: Colin Cherry
   Session 3-B - Beam-Width Prediction for Efficient Context-Free Parsing
Nathan Bodenstab1,  Aaron Dunlop1,  Keith Hall2,  Brian Roark1
1CSLU/OHSU, 2Google
   Session 3-B - Optimal Head-Driven Parsing Complexity for Linear Context-Free Rewriting Systems
Pierluigi Crescenzi1,  Daniel Gildea2,  Andrea Marino1,  Gianluca Rossi3,  Giorgio Satta4
1U of Florence, 2U of Rochester, 3U Roma 2, 4U of Padua
   Session 3-B - Prefix Probability for Probabilistic Synchronous Context-Free Grammars
Mark-Jan Nederhof1 and Giorgio Satta2
1University of St Andrews, UK, 2University of Padua, Italy
   Session 3-B - A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing
Michael Auli1 and Adam Lopez2
1University of Edinburgh, 2Johns Hopkins University
4:10-5:50    Session 3-C - Summarization
Chair: Ani Nenkova
   Session 3-C - Jointly Learning to Extract and Compress
Taylor Berg-Kirkpatrick,  Dan Gillick,  Dan Klein
UC Berkeley
   Session 3-C - Discovery of Topically Coherent Sentences for Extractive Summarization
Asli Celikyilmaz1 and Dilek Hakkani-Tur2
1Microsoft Speech Labs, 2Microsoft Speech Labs | Microsoft Research
   Session 3-C - Coherent Citation-Based Summarization of Scientific Papers
Amjad Abu-Jbara and Dragomir Radev
University of Michigan, Ann Arbor
   Session 3-C - A Class of Submodular Functions for Document Summarization
Hui Lin and Jeff Bilmes
University of Washington
4:10-5:50    Session 3-D - Relation Extraction
Chair: Alexander Yates
   Session 3-D - Semi-supervised Relation Extraction with Large-scale Word Clustering
Ang Sun,  Ralph Grishman,  Satoshi Sekine
New York University
   Session 3-D - In-domain Relation Discovery with Meta-constraints via Posterior Regularization
Harr Chen,  Edward Benson,  Tahira Naseem,  Regina Barzilay
MIT CSAIL
   Session 3-D - Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
Raphael Hoffmann,  Congle Zhang,  Xiao Ling,  Luke Zettlemoyer,  Daniel S. Weld
University of Washington
   Session 3-D - Exploiting Syntactico-Semantic Structures for Relation Extraction
Yee Seng Chan and Dan Roth
University of Illinois at Urbana-Champaign
4:10-5:50    Session 3-E - Semantics
Chair: Hwee Tou Ng
   Session 3-E - Together We Can: Bilingual Bootstrapping for WSD
Mitesh M. Khapra,  Salil Joshi,  Arindam Chatterjee,  Pushpak Bhattacharyya
Indian Institute of Technology Bombay
   Session 3-E - Which Noun Phrases Denote Which Concepts?
Jayant Krishnamurthy and Tom Mitchell
Carnegie Mellon University
   Session 3-E - Semantic Representation of Negation Using Focus Detection
Eduardo Blanco and Dan Moldovan
The University of Texas at Dallas
   Session 3-E - Learning Dependency-Based Compositional Semantics
Percy Liang,  Michael Jordan,  Dan Klein
UC Berkeley
6:00-8:30    Poster Session (Long papers)
6:00-8:30    Poster Session (Short papers)
6:00-8:30    Poster Session (Student Session)
Tuesday, June 21, 2011
9:00-10:30    Session 4-A - Best Paper Session
   Session 4-A - Best Long Paper    Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections
Dipanjan Das1 and Slav Petrov2
1Carnegie Mellon University, 2Google Research
   Session 4-A - Best Student Long Paper    Global Learning of Typed Entailment Rules
Jonathan Berant1,  Ido Dagan2,  Jacob Goldberger2
1Tel-Aviv University, 2Bar-Ilan University
   Session 4-A - Best Short Paper    Lexicographic Semirings for Exact Automata Encoding of Sequence Models
Brian Roark,  Richard Sproat,  Izhak Shafran
Center for Spoken Language Understanding
10:30-11:00    Coffee Break
11:00-12:15    Session 5-A - Machine Learning Methods (short papers)
Chair: Michael Collins
   Session 5-A - Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling
Dmitriy Dligach and Martha Palmer
University of Colorado at Boulder
   Session 5-A - Temporal Restricted Boltzmann Machines for Dependency Parsing
Nikhil Garg and James Henderson
University of Geneva
   Session 5-A - Efficient Online Locality Sensitive Hashing via Reservoir Counting
Benjamin Van Durme1 and Ashwin Lall2
1HLTCOE Johns Hopkins University, 2Denison
   Session 5-A - An Empirical Investigation of Discounting in Cross-Domain Language Models
Greg Durrett and Dan Klein
UC Berkeley
   Session 5-A - HITS-based Seed Selection and Stop List Construction for Bootstrapping
Tetsuo Kiso,  Masashi Shimbo,  Mamoru Komachi,  Yuji Matsumoto
NAIST
11:00-12:15    Session 5-B - Phonology/Morphology & POSTagging (short papers)
Chair: Greg Kondrak
   Session 5-B - The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content
Omar F. Zaidan and Chris Callison-Burch
Johns Hopkins University
   Session 5-B - Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel,  Nathan Schneider,  Brendan O'Connor,  Dipanjan Das,  Daniel Mills,  Jacob Eisenstein,  Michael Heilman,  Dani Yogatama,  Jeffrey Flanigan,  Noah A. Smith
Carnegie Mellon University
   Session 5-B - Semi-supervised condensed nearest neighbor for part-of-speech tagging
Anders Søgaard
University of Copenhagen
   Session 5-B - Latent Class Transliteration based on Source Language Origin
Masato Hagiwara and Satoshi Sekine
Rakuten Institute of Technology, New York
   Session 5-B - Tier-based Strictly Local Constraints for Phonology
Jeffrey Heinz,  Chetan Rawal,  Herbert G. Tanner
University of Delaware
11:00-12:15    Session 5-C - Linguistic Creativity (short papers)
Chair: Thamar Solorio
   Session 5-C - Lost in Translation: Authorship Attribution using Frame Semantics
Steffen Hedegaard and Jakob Grue Simonsen
University of Copenhagen
   Session 5-C - Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision
Fei Liu1,  Fuliang Weng2,  Bingqing Wang3,  Yang Liu1
1The University of Texas at Dallas, 2Research & Technology Center, Robert Bosch LLC, 3Fudan University
   Session 5-C - Unsupervised Discovery of Rhyme Schemes
Sravana Reddy1 and Kevin Knight2
1The University of Chicago, 2University of Southern California
   Session 5-C - Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis
Manoj Harpalani,  Michael Hart,  Sandesh Singh,  Rob Johnson,  Yejin Choi
Stony Brook University
   Session 5-C - That's What She Said: Double Entendre Identification
Chloe Kiddon and Yuriy Brun
University of Washington
11:00-12:15    Session 5-D - Opinion Analysis and Textual and Spoken Conversations (short papers)
Chair: Louis-Philippe Morency
   Session 5-D - Joint Identification and Segmentation of Domain-Specific Dialogue Acts for Conversational Dialogue Systems
Fabrizio Morbini and Kenji Sagae
University of Southern California
   Session 5-D - Extracting Opinion Expressions and Their Polarities – Exploration of Pipelines and Joint Models
Richard Johansson and Alessandro Moschitti
University of Trento
   Session 5-D - Subjective Natural Language Problems: Motivations, Applications, Characterizations, and Implications
Cecilia Ovesdotter Alm
Rochester Institute of Technology
   Session 5-D - Entrainment in Speech Preceding Backchannels.
Rivka Levitan1,  Agustin Gravano2,  Julia Hirschberg1
1Columbia University, 2Universidad de Buenos Aires
   Session 5-D - Question Detection in Spoken Conversations Using Textual Conversations
Anna Margolis and Mari Ostendorf
University of Washington
11:00-12:15    Session 5-E - Corpus & Document Analysis (short papers)
Chair: Bernardo Magnini
   Session 5-E - Extending the Entity Grid with Entity-Specific Features
Micha Elsner1 and Eugene Charniak2
1University of Edinburgh, 2Brown University
   Session 5-E - French TimeBank: An ISO-TimeML Annotated Reference Corpus
André Bittar1,  Pascal Amsili2,  Pascal Denis3,  Laurence Danlos1
1Alpage, Université Paris Diderot, 2LLF, Université Paris Diderot, 3Alpage, INRIA
   Session 5-E - Search in the Lost Sense of "Query": Question Formulation in Web Search Queries and its Temporal Changes
Bo Pang and Ravi Kumar
Yahoo! Research
   Session 5-E - A Corpus of Scope-disambiguated English Text
Mehdi Manshadi,  James Allen,  Mary Swift
University of Rochester
   Session 5-E - From Bilingual Dictionaries to Interlingual Document Representations
Jagadeesh Jagarlamudi1,  Hal Daume III1,  Raghavendra Udupa2
1University of Maryland, 2Microsoft Research
12:15 - 2:00    Lunch
2:00 - 3:30    Session 6-A - Machine Translation (short papers)
Chair: Taro Watanabe
   Session 6-A - AM-FM: A Semantic Framework for Translation Quality Assessment
Rafael E. Banchs and Haizhou Li
Institute for Infocomm Research
   Session 6-A - Automatic Evaluation of Chinese Translation Output: Word-Level or Character-Level?
Maoxi Li1,  Chengqing Zong1,  Hwee Tou Ng2
1Chinese Academy of Sciences, 2National University of Singapore
   Session 6-A - How Much Can We Gain from Supervised Word Alignment?
Jinxi Xu and Jinying Chen
BBN Technologies
   Session 6-A - Word Alignment via Submodular Maximization over Matroids
Hui Lin and Jeff Bilmes
University of Washington
   Session 6-A - Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
Jonathan H. Clark,  Chris Dyer,  Alon Lavie,  Noah A. Smith
Carnegie Mellon University
   Session 6-A - Bayesian Word Alignment for Statistical Machine Translation
Coskun Mermer1 and Murat Saraclar2
1TUBITAK-BILGEM, 2Bogazici University
2:00 - 3:30    Session 6-B - Syntax & Parsing (short papers)
Chair: Dan Klein
   Session 6-B - Transition-based Dependency Parsing with Rich Non-local Features
Yue Zhang1 and Joakim Nivre2
1Cambridge University, 2Uppsala University
   Session 6-B - Reversible Stochastic Attribute-Value Grammars
Daniël de Kok,  Barbara Plank,  Gertjan van Noord
University of Groningen
   Session 6-B - Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
Colin Cherry1 and Shane Bergsma2
1National Research Council Canada, 2Johns Hopkins University
   Session 6-B - Insertion Operator for Bayesian Tree Substitution Grammars
Hiroyuki Shindo,  Akinori Fujino,  Masaaki Nagata
NTT Communication Science Laboratories, NTT Corp.
   Session 6-B - Language-Independent Parsing with Empty Elements
Shu Cai1,  David Chiang1,  Yoav Goldberg2
1USC Information Sciences Institute, 2Ben Gurion University of the Negev
   Session 6-B - Judging Grammaticality with Tree Substitution Grammar Derivations
Matt Post
Johns Hopkins University
2:00 - 3:30    Session 6-C - Summarization & Generation (short papers)
Chair: Dragomir Radev
   Session 6-C - Query Snowball: A Co-occurrence-based Approach to Multi-document Summarization for Question Answering
Hajime Morita1,  Tetsuya Sakai2,  Manabu Okumura3
1Tokyo Institute of Technology, 2Microsoft Research Asia, 3Precision and Intelligence Laboratory, Tokyo Institute of Technology
   Session 6-C - Discrete vs. Continuous Rating Scales for Language Evaluation in NLP
Anja Belz and Eric Kow
University of Brighton
   Session 6-C - Semi-Supervised Modeling for Prenominal Modifier Ordering
Margaret Mitchell1,  Aaron Dunlop2,  Brian Roark2
1University of Aberdeen, 2Oregon Health and Science University
   Session 6-C - Data-oriented Monologue-to-Dialogue Generation
Paul Piwek and Svetlana Stoyanchev
The Open University
   Session 6-C - Towards Style Transformation from Written-Style to Audio-Style
Amjad Abu-Jbara1,  Barbara Rosario2,  Kent Lyons2
1University of Michigan - Ann Arbor, 2Intel Labs
   Session 6-C - Optimal and Syntactically-Informed Decoding for Monolingual Phrase-Based Alignment
Kapil Thadani and Kathleen McKeown
Columbia University
2:00 - 3:30    Session 6-D - Information Extraction (short papers)
Chair: Mihai Surdeanu
   Session 6-D - Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Shasha Liao and Ralph Grishman
New York University
   Session 6-D - Relation Guided Bootstrapping of Semantic Lexicons
Tara McIntosh1,  Lars Yencken1,  James R. Curran2,  Timothy Baldwin3
1NICTA, 2University of Sydney, 3University of Melbourne
   Session 6-D - Model-Portability Experiments for Textual Temporal Analysis
Oleksandr Kolomiyets,  Steven Bethard,  Marie-Francine Moens
K.U.Leuven
   Session 6-D - End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories
Truc Vien T. Nguyen and Alessandro Moschitti
University of Trento
   Session 6-D - Automatic Extraction of Lexico-Syntactic Patterns for Detection of Negation and Speculation Scopes
Emilia Apostolova1,  Noriko Tomuro1,  Dina Demner-Fushman2
1DePaul University, 2National Library of Medicine
   Session 6-D - Coreference for Learning to Extract Relations: Yes Virginia, Coreference Matters
Ryan Gabbard,  Marjorie Freedman,  Ralph Weischedel
Raytheon BBN Technologies
2:00 - 3:30    Session 6-E - Semantics (short papers)
Chair: Deniz Yuret
   Session 6-E - Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules
Qin Gao and Stephan Vogel
Language Technologies Institute, Carnegie Mellon University
   Session 6-E - Scaling up Automatic Cross-Lingual Semantic Role Annotation
Lonneke van der Plas,  Paola Merlo,  James Henderson
University of Geneva
   Session 6-E - Towards Tracking Semantic Change by Visual Analytics
Christian Rohrdantz,  Annette Hautli,  Thomas Mayer,  Miriam Butt,  Daniel A. Keim,  Frans Plank
Universität Konstanz
   Session 6-E - Improving Classification of Medical Assertions in Clinical Notes
Youngjun Kim1,  Ellen Riloff1,  Stéphane Meystre2
1School of Computing, University of Utah, 2Department of Biomedical Informatics, University of Utah
   Session 6-E - ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation
Els Lefever1,  Véronique Hoste1,  Martine De Cock2
1LT3, University College Ghent, Belgium, 2Ghent University, Belgium
   Session 6-E - Models and Training for Unsupervised Preposition Sense Disambiguation
Dirk Hovy,  Ashish Vaswani,  Stephen Tratz,  David Chiang,  Eduard Hovy
USC's Information Sciences Institute
3:30-4:00    Coffee Break
4:00-5:40    Session 7-A - SMT: Phrase-based Models
Chair: Shankar Kumar
   Session 7-A - Incremental Syntactic Language Models for Phrase-based Translation
Lane Schwartz1,  Chris Callison-Burch2,  William Schuler3,  Stephen Wu4
1Air Force Research Lab, 2Johns Hopkins University, 3Ohio State University, 4Mayo Clinic
   Session 7-A - An Unsupervised Model for Joint Phrase Alignment and Extraction
Graham Neubig1,  Taro Watanabe2,  Eiichiro Sumita2,  Shinsuke Mori3,  Tatsuya Kawahara3
1Kyoto University/National Institute of Information and Communications Technology, 2National Institute of Information and Communications Technology, 3Kyoto University
   Session 7-A - Learning Hierarchical Translation Structure with Linguistic Annotations
Markos Mylonakis and Khalil Sima'an
University of Amsterdam
   Session 7-A - Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives
Guangyou Zhou,  Li Cai,  Jun Zhao,  Kang Liu
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
4:00-5:40    Session 7-B - Parsing 2
Chair: Joakim Nivre
   Session 7-B - Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
Roy Schwartz1,  Omri Abend1,  Roi Reichart2,  Ari Rappoport1
1The Hebrew University, 2Massachusetts Institute of Technology
   Session 7-B - Dynamic Programming Algorithms for Transition-Based Dependency Parsers
Marco Kuhlmann1,  Carlos Gómez-Rodríguez2,  Giorgio Satta3
1Uppsala University, Sweden, 2Universidade da Coruña, Spain, 3University of Padua, Italy
   Session 7-B - Shift-Reduce CCG Parsing
Yue Zhang and Stephen Clark
University of Cambridge
   Session 7-B - Web-Scale Features for Full-Scale Parsing
Mohit Bansal and Dan Klein
EECS, UC Berkeley
4:00-5:40    Session 7-C - Spoken Language Processing
Chair: Julia Hirschberg
   Session 7-C - The impact of language models and loss functions on repair disfluency detection
Simon Zwarts and Mark Johnson
Macquarie University
   Session 7-C - Learning Sub-Word Units for Open Vocabulary Speech Recognition
Carolina Parada1,  Mark Dredze2,  Abhinav Sethy3,  Ariya Rastrow1
1Johns Hopkins University, 2HLTCOE, Johns Hopkins University, 3IBM TJ Watson Research Center
   Session 7-C - Computing and Evaluating Syntactic Complexity Features for Automated Scoring of Spontaneous Non-Native Speech
Miao Chen1 and Klaus Zechner2
1Syracuse University, 2Educational Testing Service
   Session 7-C - N-Best Rescoring Based on Pitch-accent Patterns
Je Hun Jeon1,  Wen Wang2,  Yang Liu1
1The University of Texas at Dallas, 2SRI International
4:00-5:40    Session 7-D - Natural Language Processing Applications
Chair: Tim Baldwin
   Session 7-D - Lexically-Triggered Hidden Markov Models for Clinical Document Coding
Svetlana Kiritchenko1 and Colin Cherry2
1National Research Council Canada, 2National Research Council
   Session 7-D - Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments
Michael Mohler1,  Razvan Bunescu2,  Rada Mihalcea1
1University of North Texas, 2Ohio University
   Session 7-D - Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations
Sara Rosenthal and Kathleen McKeown
Columbia University
   Session 7-D - Extracting Social Power Relationships from Natural Language
Philip Bramsen1,  Martha Escobar-Molano2,  Ami Patel3,  Rafael Alonso4
1SBTS, 2, 3MIT, 4SET Corporation
4:00-5:40    Session 7-E - Coreference Resolution
Chair: Michael Strube
   Session 7-E - Bootstrapping coreference resolution using word associations
Hamidreza Kobdani,  Hinrich Schuetze,  Michael Schiehlen,  Hans Kamp
Stuttgart University
   Session 7-E - Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
Sameer Singh1,  Amarnag Subramanya2,  Fernando Pereira2,  Andrew McCallum1
1University of Massachusetts, Amherst, 2Google Inc.
   Session 7-E - A Cross-Lingual ILP Solution to Zero Anaphora Resolution
Ryu Iida1 and Massimo Poesio2
1Tokyo Institute of Technology, 2Universita' di Trento
   Session 7-E - Coreference Resolution with World Knowledge
Altaf Rahman and Vincent Ng
University of Texas at Dallas
7:00-11:00    Banquet
Wednesday, June 22, 2011
9:00-10:00    Invited Talk 2
   How do the languages we speak shape the ways we think?
Lera Boroditsky
10:00-10:30    Coffee Break
10:30-12:10    Session 8-A - SMT: Tree-based Models
Chair: Daniel Marcu
   Session 8-A - How to train your multi bottom-up tree transducer
Andreas Maletti
Universität Stuttgart, Germany
   Session 8-A - Binarized Forest to String Translation
Hao Zhang1,  Licheng Fang2,  Peng Xu1,  Xiaoyun Wu1
1Google, 2University of Rochester
   Session 8-A - Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations
Bing Zhao1,  Young-Suk Lee1,  Xiaoqiang Luo1,  Liu Li2
1IBM, 2CMU
   Session 8-A - Rule Markov Models for Fast Tree-to-String Translation
Ashish Vaswani1,  Haitao Mi2,  Liang Huang1,  David Chiang1
1USC/ISI, 2CAS/ICT and USC/ISI
10:30-12:10    Session 8-B - Morphology/POS Induction
Chair: Jirka Hana
   Session 8-B - A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction
Phil Blunsom1 and Trevor Cohn2
1University of Oxford, 2University of Sheffield
   Session 8-B - Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting Recognition
Nizar Habash and Ryan Roth
Columbia University
   Session 8-B - A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
John Lee1,  Jason Naradowsky2,  David A. Smith2
1City University of Hong Kong, 2University of Massachusetts Amherst
   Session 8-B - Unsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models
Jason Naradowsky1 and Kristina Toutanova2
1University of Massachusetts, 2Microsoft
10:30-12:10    Session 8-C - Error Correction
Chair: Joel Tetreault
   Session 8-C - Grammatical Error Correction with Alternating Structure Optimization
Daniel Dahlmeier and Hwee Tou Ng
National University of Singapore
   Session 8-C - A Graph Approach to Spelling Correction in Domain-Centric Search
Zhuowei Bao1,  Benny Kimelfeld2,  Yunyao Li2
1University of Pennsylvania, 2IBM Research - Almaden
   Session 8-C - Algorithm Selection and Model Adaptation for ESL Correction Tasks
Alla Rozovskaya and Dan Roth
UIUC
   Session 8-C - Automated Whole Sentence Grammar Correction Using a Noisy Channel Model
Y. Albert Park and Roger Levy
University of California, San Diego
10:30-12:10    Session 8-D - Information Extraction
Chair: Razvan Bunescu
   Session 8-D - A Generative Entity-Mention Model for Linking Entities with Knowledge Base
Xianpei Han and Le Sun
Institute of Software, Chinese Academy of Sciences
   Session 8-D - Simple supervised document geolocation with geodesic grids
Benjamin Wing and Jason Baldridge
The University of Texas at Austin
   Session 8-D - Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
Stefan Rüd1,  Massimiliano Ciaramita2,  Jens Müller1,  Hinrich Schütze1
1IfNLP, 2Google
   Session 8-D - Template-Based Information Extraction without the Templates
Nathanael Chambers and Dan Jurafsky
Stanford University
10:30-12:10    Session 8-E - Discourse
Chair: Svetlana Stoyanchev
   Session 8-E - Classifying arguments by scheme
Vanessa Wei Feng and Graeme Hirst
Department of Computer Science, University of Toronto
   Session 8-E - Underspecifying and Predicting Voice for Surface Realisation Ranking
Sina Zarrieß,  Aoife Cahill,  Jonas Kuhn
University of Stuttgart
   Session 8-E - Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model
Elijah Mayfield and Carolyn Penstein Rosé
Carnegie Mellon University
   Session 8-E - Automatically Evaluating Text Coherence Using Discourse Relations
Ziheng Lin,  Hwee Tou Ng,  Min-Yen Kan
National University of Singapore
12:10-1:30    Lunch
1:30-3:00    ACL Business Meeting
3:00-3:30    Coffee Break
3:30-4:45    Session 9-A - MT: Reordering Models
Chair: David Chiang
   Session 9-A - Reordering Metrics for MT
Alexandra Birch and Miles Osborne
University of Edinburgh
   Session 9-A - Reordering with Source Language Collocations
Zhanyi Liu1,  Haifeng Wang2,  Hua Wu2,  Ting Liu1,  Sheng Li1
1Harbin Institute of Technology, 2Baidu Inc.
   Session 9-A - A Joint Sequence Translation Model with Integrated Reordering
Nadir Durrani,  Helmut Schmid,  Alexander Fraser
University of Stuttgart
3:30-4:45    Session 9-B - Grammar
Chair: Lluis Marquez
   Session 9-B - Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results
Roger Levy
University of California at San Diego
   Session 9-B - Metagrammar engineering: Towards systematic exploration of implemented grammars
Antske Fokkens
Saarland University
   Session 9-B - Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models
Elias Ponvert,  Jason Baldridge,  Katrin Erk
The University of Texas at Austin
3:30-4:45    Session 9-C - Generation/Paraphrasing
Chair: Bill Dolan
   Session 9-C - Extracting Paraphrases from Definition Sentences on the Web
Chikara Hashimoto1,  Kentaro Torisawa1,  Stijn De Saeger1,  Jun'ichi Kazama1,  Sadao Kurohashi2
1National Institute of Information and Communications Technology, 2Kyoto University
   Session 9-C - Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
Vahed Qazvinian and Dragomir R. Radev
University of Michigan
   Session 9-C - Ordering Prenominal Modifiers with a Reranking Approach
Jenny Liu and Aria Haghighi
MIT
3:30-4:45    Session 9-D - Event-Role Extraction
Chair: Dan Roth
   Session 9-D - Unsupervised Semantic Role Induction via Split-Merge Clustering
Joel Lang and Mirella Lapata
University of Edinburgh
   Session 9-D - Using Cross-Entity Inference to Improve Event Extraction
Yu Hong,  Jianfeng Zhang,  Bin Ma,  Jianmin Yao,  Guodong Zhou,  Qiaoming Zhu
Soochow University
   Session 9-D - Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts
Ruihong Huang and Ellen Riloff
University of Utah
3:30-4:20    Session 9-E - Knowledge Base Extension
Chair: Doug Downey
   Session 9-E - Knowledge Base Population: Successful Approaches and Challenges
Heng Ji1 and Ralph Grishman2
1City University of New York, 2New York University
   Session 9-E - Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining
Fan Zhang1,  Shuming Shi2,  Jing Liu1,  Shuqi Sun3,  Chin-Yew Lin2
1Nankai University, 2Microsoft Research Asia, 3
5:00-6:00    Life Time Achievement Award
6:00-6:10    Closing Session
Monday, June 20, 2011
6:00-8:30    Poster Session (Long and short papers)
   L-1    A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models
Dingcheng Li1,  Tim Miller2,  William Schuler3
1Institute of Linguistics, University of Minnesota, 2Department of Health Sciences, University of Wisconsin, 3Department of Linguistics, Ohio State University
   L-2    Disentangling Chat with Local Coherence Models
Micha Elsner1 and Eugene Charniak2
1University of Edinburgh, 2Brown University
   L-3    An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue
Kristy Boyer,  Joseph Grafsgaard,  Eun Young Ha,  Robert Phillips,  James Lester
North Carolina State University
   L-4    Fine-Grained Class Label Markup of Search Queries
Joseph Reisinger1 and Marius Pasca2
1The University of Texas at Austin, 2Google
   L-5    Creating a manually error-tagged and shallow-parsed learner corpus
Ryo Nagata1,  Edward Whittaker2,  Vera Sheinman2
1Konan University, 2JIEM
   L-6    Crowdsourcing Translation: Professional Quality from Non-Professionals
Omar F. Zaidan and Chris Callison-Burch
Johns Hopkins University
   L-7    A Statistical Tree Annotator and Its Applications
Xiaoqiang Luo and Bing Zhao
IBM Research
   L-8    Consistent Translation using Discriminative Learning - A Translation Memory-inspired Approach
Yanjun Ma1,  Yifan He2,  Andy Way2,  Josef van Genabith2
1Baidu Inc., 2CNGL, School of Computing, Dublin City University
   L-9    Machine Translation System Combination by Confusion Forest
Taro Watanabe and Eiichiro Sumita
National Institute of Information and Communications Technology
   L-10    Hypothesis Mixture Decoding for Statistical Machine Translation
Nan Duan1,  Mu Li2,  Ming Zhou2
1Tianjin University, 2Microsoft Research Asia
   L-11    Minimum Bayes-risk System Combination
Jesús González-Rubio1,  Alfons Juan2,  Francisco Casacuberta2
1Instituto Tecnológico de Informática, 2Universitat Politècnica de València
   L-12    Adjoining Tree-to-String Translation
Yang Liu,  Qun Liu,  Yajuan Lü
Institute of Computing Technology, Chinese Academy of Sciences
   L-13    Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
Deyi Xiong,  Min Zhang,  Haizhou Li
Institute for Infocomm Research
   L-14    Translating from Morphologically Complex Languages: A Paraphrase-Based Approach
Preslav Nakov and Hwee Tou Ng
National University of Singapore
   L-15    Gappy Phrasal Alignment By Agreement
Mohit Bansal1,  Chris Quirk2,  Robert Moore3
1UC Berkeley, 2Microsoft Research, 3Google Research
   L-16    Translationese and Its Dialects
Moshe Koppel1 and Noam Ordan2
1Department of Computer Science, Bar Ilan University, Israel, 2Department of Computer Science, University of Haifa, Israel
   L-17    Rare Word Translation Extraction from Aligned Comparable Documents
Emmanuel Prochasson and Pascale Fung
Hong Kong University of Science & Technology (HKUST)
   L-18    Using Bilingual Parallel Corpora for Cross-Lingual Textual Entailment
Yashar Mehdad,  Matteo Negri,  Marcello Federico
FBK-IRST
   L-19    Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation
Shane Bergsma,  David Yarowsky,  Kenneth Church
Johns Hopkins University
   L-20    Unsupervised Decomposition of a Document into Authorial Components
Moshe Koppel1,  Navot Akiva1,  Idan Dershowitz2,  Nachum Dershowitz3
1Bar-Ilan University, 2Hebrew University of Jerusalem, 3Tel-Aviv University
   L-21    Discovering Sociolinguistic Associations with Structured Sparsity
Jacob Eisenstein,  Noah A. Smith,  Eric P. Xing
CMU
   L-22    Local and Global Algorithms for Disambiguation to Wikipedia
Lev Ratinov1,  Dan Roth1,  Doug Downey2,  Mike Anderson3
1University of Illinois, 2Northwestern University, 3Rexonomy
   L-23    A Stacked Sub-Word Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Weiwei Sun
Saarland University
   L-24    Language-independent compound splitting with morphological operations
Klaus Macherey1,  Andrew Dai2,  David Talbot1,  Ashok Popat1,  Franz Och1
1Google Inc., 2University of Edinburgh
   L-25    Parsing the Internal Structure of Words: A New Paradigm for Chinese Word Segmentation
Zhongguo Li
Department of Computer Science and Technology, Tsinghua University
   L-26    A Simple Measure to Assess Non-response
Anselmo Peñas and Alvaro Rodrigo
UNED NLP & IR Group
   L-27    Improving Question Recommendation by Exploiting Information Need
Shuguang Li and Suresh Manandhar
Computer Science Department, University of York
   L-28    Semi-Supervised Frame-Semantic Parsing for Unknown Predicates
Dipanjan Das and Noah A. Smith
Carnegie Mellon University
   L-29    A Bayesian Model for Unsupervised Semantic Parsing
Ivan Titov1 and Alexandre Klementiev2
1Saarland University, 2Johns Hopkins University
   L-30    Unsupervised Learning of Semantic Relation Composition
Eduardo Blanco and Dan Moldovan
The University of Texas at Dallas
   L-31    Unsupervised Discovery of Domain-Specific Knowledge from Text
Dirk Hovy1,  Chunliang Zhang1,  Eduard Hovy1,  Anselmo Peñas2
1Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA 90292, 2UNED NLP and IR Group, Juan del Rosal 16, 28040 Madrid, Spain
   L-32    Latent Semantic Word Sense Induction and Disambiguation
Tim Van de Cruys1 and Marianna Apidianaki2
1RCEAL, University of Cambridge, 2Alpage, INRIA and University Paris 7
   L-33    Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser1,  Roi Reichart2,  James Clarke1,  Dan Roth1
1University of Illinois at Urbana Champaign, 2Massachusetts Institute of Technology
   L-34    Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews
Jianxing Yu,  Zheng-Jun Zha,  Meng Wang,  Tat-Seng Chua
National University of Singapore
   L-35    Collective Classification of Congressional Floor-Debate Transcripts
Clinton Burfoot,  Steven Bird,  Timothy Baldwin
University of Melbourne
   L-36    Integrating history-length interpolation and classes in language modeling
Hinrich Schütze
IfNLP
   L-37    Structural Topic Model for Latent Topical Structure Analysis
Hongning Wang,  Duo Zhang,  ChengXiang Zhai
University of Illinois at Urbana-Champaign
   L-38    Automatic Labelling of Topic Models
Jey Han Lau1,  Karl Grieser2,  David Newman3,  Timothy Baldwin1
1University of Melbourne/NICTA, 2University of Melbourne, 3UCI/NICTA
   L-39    Using Bilingual Information for Cross-Language Document Summarization
Xiaojun Wan
Peking University
   L-40    Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing
Guangyou Zhou,  Jun Zhao,  Kang Liu,  Li Cai
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Acedemy of Sciences
   L-41    Effective Measures of Domain Similarity for Parsing
Barbara Plank and Gertjan van Noord
University of Groningen
   L-42    Efficient CCG Parsing: A* versus Adaptive Supertagging
Michael Auli1 and Adam Lopez2
1University of Edinburgh, 2Johns Hopkins University
   L-43    Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features
Yuval Marton1,  Nizar Habash2,  Owen Rambow2
1IBM, 2Columbia University
   L-44    Partial Parsing from Bitext Projections
Prashanth Mannem and Aswarth Dara
IIIT-Hyderabad
   L-45    Ranking Class Labels Using Query Sessions
Marius Pasca
Google Inc.
   L-46    Insights from Network Structure for Text Mining
Zornitsa Kozareva and Eduard Hovy
ISI/USC
   L-47    Event Extraction as Dependency Parsing
David McClosky,  Mihai Surdeanu,  Christopher Manning
Stanford University
   L-48    Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification
Seon Yang and Youngjoong Ko
Dong-A University
   S-1    Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment
Peter LoBue and Alexander Yates
Temple University
   S-2    Modeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts
Derya Ozkan and Louis-Philippe Morency
USC
   S-3    Language Use: What can it tell us?
Marjorie Freedman,  Alex Baron,  Vasin Punyakanok,  Ralph Weischedel
Raytheon BBN Technologies
   S-4    Automatic Detection and Correction of Errors in Dependency Treebanks
Alexander Volokh and Günter Neumann
DFKI
   S-5    Temporal Evaluation
Naushad UzZaman and James Allen
University of Rochester
   S-6    A Corpus for Modeling Morpho-Syntactic Agreement in Arabic: Gender, Number and Rationality
Sarah Alkuhlani and Nizar Habash
Columbia University
   S-7    NULEX: An Open-License Broad Coverage Lexicon
Clifton McFate and Kenneth Forbus
Northwestern University
   S-8    Even the Abstract have Color: Consensus in Word-Colour Associations
Saif Mohammad
National Research Council Canada
   S-9    Detection of Agreement and Disagreement in Broadcast Conversations
Wen Wang1,  Sibel Yaman2,  Kristin Precoda1,  Colleen Richey1,  Geoffrey Raymond3
1SRI International, 2IBM, 3UCSB
   S-10    Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment
Shujian Huang1,  Stephan Vogel2,  Jiajun Chen1
1State Key Laboratory for Novel Software Technology, Nanjing University, 2Language Technologies Institute, Carnegie Mellon Univeristy
   S-11    Clause Restructuring For SMT Not Absolutely Helpful
Susan Howlett and Mark Dras
Macquarie University
   S-12    Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation
Vicent Alabau1,  Alberto Sanchis2,  Francisco Casacuberta2
1Institut Tecnològic d’Informàtica Universitat Politècnica de València, 2Universitat Politècnica de València
   S-13    Monolingual Alignment by Edit Rate Computation on Sentential Paraphrase Pairs
Houda Bouamor,  Aurélien Max,  Anne Vilnat
LIMSI & Univ. Paris-Sud
   S-14    Terminal-Aware Synchronous Binarization
Licheng Fang,  Tagyoung Chung,  Daniel Gildea
University of Rochester
   S-15    Domain Adaptation for Machine Translation by Mining Unseen Words
Hal Daume III1 and Jagadeesh Jagarlamudi2
1Univeristy of Maryland, 2University of Maryland
   S-16    Issues Concerning Decoding with Synchronous Context-free Grammar
Tagyoung Chung,  Licheng Fang,  Daniel Gildea
University of Rochester
   S-17    Improving Decoding Generalization for Tree-to-String Translation
Jingbo Zhu and Tong Xiao
Northeastern University, China
   S-18    Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation
Bing Xiang and Abraham Ittycheriah
IBM
   S-19    Is Machine Translation Ripe for Cross-Lingual Sentiment Classification?
Kevin Duh,  Akinori Fujino,  Masaaki Nagata
NTT
   S-20    Reordering Constraint Based on Document-Level Context
Takashi Onishi,  Masao Utiyama,  Eiichiro Sumita
National Institute of Information and Communications Technology
   S-21    Confidence-Weighted Learning of Factored Discriminative Language Models
Viet Ha Thuc1 and Nicola Cancedda2
1Computer Science Department, University of Iowa, 2Xerox Research Centre Europe
   S-22    On-line Language Model Biasing for Statistical Machine Translation
Sankaranarayanan Ananthakrishnan,  Rohit Prasad,  Prem Natarajan
Raytheon BBN Technologies
   S-23    Reordering Modeling using Weighted Alignment Matrices
Wang Ling1,  Tiago Luís2,  João Graça3,  Isabel Trancoso2,  Luísa Coheur2
1LTI,CMU/INESC-ID/IST, 2INESC-ID/IST, 3INESC-ID
   S-24    Two Easy Improvements to Lexical Weighting
David Chiang,  Steve DeNeefe,  Michael Pust
USC Information Sciences Institute
   S-25    Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity
Kristina Toutanova and Michel Galley
Microsoft Research
   S-26    "I Thou Thee, Thou Traitor": Predicting Formal vs. Informal Address in English Literature
Manaal Faruqui1 and Sebastian Padó2
1Indian Institute of Technology, Kharagpur, 2Heidelberg University
   S-27    Clustering Comparable Corpora For Bilingual Lexicon Extraction
Bo Li1,  Eric Gaussier1,  Akiko Aizawa2
1UJF-Grenoble 1 / CNRS, France, 2National Institute of Informatics, Tokyo, Japan
   S-28    Identifying Word Translations from Comparable Corpora Using Latent Topic Models
Ivan Vulić,  Wim De Smet,  Marie-Francine Moens
K.U. Leuven, Department of Computer Science, Leuven, Belgium
   S-29    Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method
Yabin Zheng1,  Lixing Xie1,  Zhiyuan Liu1,  Maosong Sun1,  Yang Zhang2,  Liyun Ru2
1Tsinghua University, 2Sogou Inc.
   S-30    Automatic Assessment of Coverage Quality in Intelligence Reports
Samuel Brody and Paul Kantor
Rutgers University
   S-31    Putting it Simply: a Context-Aware Approach to Lexical Simplification
Or Biran1,  Samuel Brody2,  Noemie Elhadad1
1Columbia University, 2Rutgers University
   S-32    Automatically Predicting Peer-Review Helpfulness
Wenting Xiong1 and Diane Litman2
1University of Pittsburgh, Department of Computer Science, 2University of Pittsburgh, Department of Computer Science & Learning Research and Development Center
   S-33    They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems
Nitin Madnani1,  Martin Chodorow2,  Joel Tetreault1,  Alla Rozovskaya3
1Educational Testing Service, 2CUNY Hunter College, 3University of Illinois Urbana Champaign
   S-34    Typed Graph Models for Learning Latent Attributes from Names
Delip Rao and David Yarowsky
JHU
   S-35    Interactive Group Suggesting for Twitter
Zhonghua Qu and Yang Liu
University of Texas at Dallas
   S-36    Improved Modeling of Out-Of-Vocabulary Words Using Morphological Classes
Thomas Mueller and Hinrich Schuetze
IMS Universität Stuttgart
   S-37    Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
Graham Neubig,  Yosuke Nakata,  Shinsuke Mori
Kyoto University
   S-38    Nonparametric Bayesian Machine Transliteration with Synchronous Adaptor Grammars
Yun Huang1,  Min Zhang2,  Chew Lim Tan1
1Department of Computer Science, National University of Singapore, 2Human Language Department, Institute for Infocomm Research, A-STAR
   S-39    Fully Unsupervised Word Segmentation with BVE and MDL
Daniel Hewlett and Paul Cohen
University of Arizona
   S-40    An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques
Donald Metzler,  Eduard Hovy,  Chunliang Zhang
University of Southern California
   S-41    Identification of Domain-Specific Senses in a Machine-Readable Dictionary
Fumiyo Fukumoto and Yoshimi Suzuki
Univ. of Yamanashi
   S-42    A Probabilistic Modeling Framework for Lexical Entailment
Eyal Shnarch,  Jacob Goldberger,  Ido Dagan
Bar Ilan University
   S-43    Liars and Saviors in a Sentiment Annotated Corpus of Comments to Political Debates
Paula Carvalho1,  Luís Sarmento2,  Jorge Teixeira2,  Mário J. Silva1
1Lasige, Faculty of Sciences, University of Lisbon, 2Labs Sapo UP & University of Porto
   S-44    Semi-supervised latent variable models for sentence-level sentiment analysis
Oscar Täckström1 and Ryan McDonald2
1SICS / Uppsala University, 2Google, Inc.
   S-45    Identifying Noun Product Features that Imply Opinions
Lei Zhang and Bing Liu
University of Illinois at Chicago
   S-46    Identifying Sarcasm in Twitter: A Closer Look
Roberto González-Ibáñez,  Smaranda Muresan,  Nina Wacholder
Rutgers University
   S-47    Subjectivity and Sentiment Analysis of Modern Standard Arabic
Muhammad Abdul-Mageed1,  Mona Diab2,  Mohammed Korayem3
1Department of Linguistics and School of Library & Information Science, Indiana University, Bloomington, USA, 2Center for Computational Learning Systems, Columbia University, NYC, USA, 3School of Informatics and Computing, Indiana University, Bloomington, USA
   S-48    Identifying the Semantic Orientation of Foreign Words
Ahmed Hassan,  Amjad AbuJbara,  Rahul Jha,  Dragomir Radev
University of Michigan Ann Arbor
   S-49    Hierarchical Text Classification with Latent Concepts
Xipeng Qiu,  Xuanjing Huang,  Zhao Liu,  Jinlong Zhou
Fudan University
   S-50    Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System
Wei-Bin Liang1,  Chung-Hsien Wu1,  Chia-Ping Chen2
1Dept. of CSIE, National Cheng Kung University, 2Dept. of CSE, National Sun Yat-sen University
   S-51    Predicting Relative Prominence in Noun-Noun Compounds
Taniya Mishra and Srinivas Bangalore
AT&T Research
   S-52    Contrasting Multi-Lingual Prosodic Cues to Predict Verbal Feedback for Rapport
Siwei Wang1 and Gina-Anne Levow2
1University of Chicago, 2University of Washington
   S-53    Generalized Interpolation in Decision Tree LM
Denis Filimonov1 and Mary Harper2
1University of Maryland, HLTCOE Johns Hopkins University, 2University of Maryland
   S-54    A Scalable Probabilistic Classifier for Language Modeling
Joel Lang
University of Edinburgh
   S-55    Chinese sentence segmentation as comma classification
Nianwen Xue and Yaqin Yang
Brandeis University
   S-56    Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
Jun Suzuki,  Hideki Isozaki,  Masaaki Nagata
NTT CS Lab.
   S-57    Probabilistic Document Modeling for Syntax Removal in Text Summarization
William M. Darling and Fei Song
School of Computer Science, University of Guelph
   S-58    Comparative News Summarization Using Linear Programming
Xiaojiang Huang,  Xiaojun Wan,  Jianguo Xiao
Peking University
   S-59    Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation
Nina Dethlefs1 and Heriberto Cuayahuitl2
1University of Bremen, 2German Research Centre for Artificial Intelligence (DFKI)
   S-60    Does Size Matter – How Much Data is Required to Train a REG Algorithm?
Mariët Theune1,  Ruud Koolen2,  Emiel Krahmer2,  Sander Wubben2
1University of Twente, 2Tilburg University
   S-61    Simple English Wikipedia: A New Text Simplification Task
William Coster and David Kauchak
Pomona College
   S-62    A Hierarchical Model of Web Summaries
Yves Petinot,  Kathleen McKeown,  Kapil Thadani
Columbia University
   S-63    Unary Constraints for Efficient Context-Free Parsing
Nathan Bodenstab1,  Kristy Hollingshead2,  Brian Roark1
1CSLU/OHSU, 2University of Maryland
   S-64    Data point selection for cross-language adaptation of dependency parsers
Anders Søgaard
University of Copenhagen
   S-65    Getting the Most out of Transition-based Dependency Parsing
Jinho D. Choi1 and Martha Palmer2
1University of Colorado at Boulder, 2Getting the Most out of Transition-based Dependency Parsing
   S-66    Using Derivation Trees for Treebank Error Detection
Seth Kulick,  Ann Bies,  Justin Mott
Linguistic Data Consortium, University of Pennsylvania
   S-67    Improving Dependency Parsing with Semantic Classes
Eneko Agirre1,  Kepa Bengoetxea1,  Koldo Gojenola1,  Joakim Nivre2
1University of the Basque Country, 2University of Uppsala
   S-68    Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser
Yoav Goldberg and Michael Elhadad
Ben Gurion University
   S-69    An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
Gholamreza Haffari1,  Marzieh Razavi2,  Anoop Sarkar2
1Monash University, 2Simon Fraser University
   S-70    Better Automatic Treebank Conversion Using A Feature-Based Approach
Muhua Zhu,  Jingbo Zhu,  Minghan Hu
Northeastern University
   S-71    The Surprising Variance in Shortest-Derivation Parsing
Mohit Bansal and Dan Klein
EECS, UC Berkeley
   S-72    Entity Set Expansion using Topic information
Kugatsu Sadamitsu,  Kuniko Saito,  Kenji Imamura,  Genichiro Kikui
NTT Cyber Space Laboratories, NTT Corporation



ACL-HLT Student Session 2011: Program

   ST-1    Word Alignment Combination over Multiple Word Segmentation
Ning Xi,  Guangchao Tang,  Boyuan Li,  Yinggong Zhao
State Key Laboratory for Novel Software Technology of Nanjing University
   ST-2    Sentence Ordering Driven by Local and Global Coherence for Summary Generation
Renxian Zhang
The Hong Kong Polytechnic University
   ST-3    Pre- and Postprocessing for Statistical Machine Translation into Germanic Languages
Sara Stymne
Linköping University
   ST-4    Exploring Entity Relations for Named Entity Disambiguation
Danuta Ploch
DAI-Lab, TU Berlin
   ST-5    Extracting and Classifying Urdu Multiword Expressions
Annette Hautli and Sebastian Sulger
University of Konstanz
   ST-6    A Latent Topic Extracting Method based on Events in a Document and its Application
Risa Kitajima and Ichiro Kobayashi
Ochanomizu University
   ST-7    Syntax-based Statistical Machine Translation using Tree Automata and Tree Transducers
Daniel Emilio Beck
Federal University of São Carlos
   ST-8    ConsentCanvas: Automatic Texturing for Improved Readability in End-User License Agreements
Oliver Schneider and Alex Garnett
University of British Columbia
   ST-9    Disambiguating temporal-contrastive connectives for machine translation
Thomas Meyer
Idiap Research Institute, Martigny, Switzerland
   ST-10    PsychoSentiWordNet
Amitava Das
Jadavpur University
   ST-11    Optimistic Backtracking - A Backtracking Overlay for Deterministic Incremental Parsing
Gisle Ytrestøl
Department of Informatics / University of Oslo
   ST-12    An Error Analysis of Relation Extraction in Social Media Documents
Gregory Brown
University of Colorado at Boulder
   ST-13    Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation
Nathan Green
Charles University
   ST-14    Towards a Framework for Abstractive Summarization of Multimodal Documents
Charles Greenbacker
University of Delaware
   ST-15    Sentiment Analysis of Citations using Sentence Structure-Based Features
Awais Athar
University of Cambridge, Computer Laboratory
   ST-16    Combining Indicators of Allophony
Luc Boruta
Univ. Paris Diderot, Sorbonne Paris Cité, ALPAGE, UMR-I 001 INRIA, F-75205, Paris, France & LSCP, Département d'Études Cognitives, École Normale Supérieure, F-75005, Paris, France
   ST-17    Turn-Taking Cues in a Human Tutoring Corpus
Heather Friedberg
University of Pittsburgh
   ST-18    Predicting Clicks in a Vocabulary Learning System
Aaron Michelony
UC Santa Cruz
   ST-19    Exploiting Morphology in Turkish Named Entity Recognition System
Reyyan Yeniterzi
Carnegie Mellon University
   ST-20    Social Network Extraction from Texts: A Thesis Proposal
Apoorv Agarwal
Columbia University
   ST-21    Automatic Headline Generation using Character Cross-Correlation
Fahad Alotaiby
King Saud University
   ST-22    K-means Clustering with Feature Hashing
Hajime Senuma
University of Tokyo



acl2011.conference@gmail.com   ♦   Oregon Health & Science University