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43rd Annual Meeting of the ACL

MAIN CONFERENCE PROGRAM

Sunday, June 26, 2005

8:45–9:00Opening
9:00–10:00Invited Talk by Justine Cassell
10:00–10:30Break
 Session M1R: Machine Learning and Statistical Models
10:30–11:00A High-Performance Semi-Supervised Learning Method for Text Chunking
Rie Ando and Tong Zhang
11:00–11:30Scaling Conditional Random Fields Using Error-Correcting Codes
Trevor Cohn, Andrew Smith and Miles Osborne
11:30–12:00Logarithmic Opinion Pools for Conditional Random Fields
Andrew Smith, Trevor Cohn and Miles Osborne
 Session M1M: Word Sense Disambiguation
10:30–11:00Supersense Tagging of Unknown Nouns Using Semantic Similarity
James Curran
11:00–11:30Learning Semantic Classes for Word Sense Disambiguation
Upali Sathyajith Kohomban and Wee Sun Lee
11:30–12:00The Role of Semantic Roles in Disambiguating Verb Senses
Hoa Trang Dang and Martha Palmer
 Session M1B: Generation
10:30–11:00Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring Systems
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan Haller and Michael Glass
11:00–11:30Empirically-based Control of Natural Language Generation
Daniel S. Paiva and Roger Evans
11:30–12:00Towards Developing Generation Algorithms for Text-to-Text Applications
Radu Soricut and Daniel Marcu
12:00–1:30Lunch
 Session M2R: Parsing
1:30–2:00Probabilistic CFG with Latent Annotations
Takuya Matsuzaki, Yusuke Miyao and Jun’ichi Tsujii
2:00–2:30Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing
Yusuke Miyao and Jun’ichi Tsujii
2:30–3:00Online Large-Margin Training of Dependency Parsers
Ryan McDonald, Koby Crammer and Fernando Pereira
3:00–3:30Pseudo-Projective Dependency Parsing
Joakim Nivre and Jens Nilsson
 Session M2M: Semantics
1:30–2:00The Distributional Inclusion Hypotheses and Lexical Entailment
Maayan Geffet and Ido Dagan
2:00–2:30Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
Bo Pang and Lillian Lee
2:30–3:00Inducing Ontological Co-occurrence Vectors
Patrick Pantel
3:00–3:30Extracting Semantic Orientations of Words using Spin Model
Hiroya Takamura, Takashi Inui and Manabu Okumura
 Session M2B: Discourse
1:30–2:00Modeling Local Coherence: An Entity-Based Approach
Regina Barzilay and Mirella Lapata
2:00–2:30Modelling the Substitutability of Discourse Connectives
Ben Hutchinson
2:30–3:00Machine Learning for Coreference Resolution: From Local Classification to Global Ranking
Vincent Ng
3:00–3:30Improving Pronoun Resolution Using Statistics-Based Semantic Compatibility Information
Xiaofeng Yang, Jian Su and Chew Lim Tan
3:30–4:00Break
 Session M3R: Parsing
4:00–4:30Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
Eugene Charniak and Mark Johnson
4:30–5:00Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models
James Henderson and Ivan Titov
5:00–5:30Boosting-based Parse Reranking with Subtree Features
Taku Kudo, Jun Suzuki and Hideki Isozaki
5:30–6:00Automatic Measurement of Syntactic Development in Child Language
Kenji Sagae, Alon Lavie and Brian MacWhinney
 Session M3M: Question Answering
4:00–4:30Experiments with Interactive Question-Answering
Sanda Harabagiu, Andrew Hickl, John Lehmann and Dan Moldovan
4:30–5:00Question Answering as Question-Biased Term Extraction: A New Approach toward Multilingual QA
Yutaka Sasaki
 Session M3B: Discourse and Dialogue
4:00–4:30Exploring and Exploiting the Limited Utility of Captions in Recognizing Intention in Information Graphics
Stephanie Elzer, Sandra Carberry, Daniel Chester, Seniz Demir, Nancy Green, Ingrid Zukerman and Keith Trnka
4:30–5:00Scaling up from Dialogue to Multilogue: Some Principles and Benchmarks
Jonathan Ginzburg and Raquel Fernández
5:00–5:30Implications for Generating Clarification Requests in Task-Oriented Dialogues
Verena Rieser and Johanna Moore
5:30–6:00Towards Finding and Fixing Fragments—Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue
David Schlangen

Monday, June 27, 2005

 Session M4R: Machine Translation
9:00–9:30Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases
Chris Callison-Burch, Colin Bannard and Josh Schroeder
9:30–10:00A Hierarchical Phrase-Based Model for Statistical Machine Translation
David Chiang
10:00–10:30Dependency Treelet Translation: Syntactically Informed Phrasal SMT
Chris Quirk, Arul Menezes and Colin Cherry
 Session M4M: Summarization
9:00–9:30QARLA: A Framework for the Evaluation of Text Summarization Systems
Enrique Amigó, Julio Gonzalo, Anselmo Peñas and Felisa Verdejo
9:30–10:00Supervised and Unsupervised Learning for Sentence Compression
Jenine Turner and Eugene Charniak
10:00–10:30Digesting Virtual “Geek” Culture: The Summarization of Technical Internet Relay Chats
Liang Zhou and Eduard Hovy
10:30–11:00Break
11:00–12:00Lifetime Achievement Award and Talk
12:00–1:30Lunch
1:30–2:30ACL Business Meeting
 Session M5R: Parsing
2:30–3:00Lexicalization in Crosslinguistic Probabilistic Parsing: The Case of French
Abhishek Arun and Frank Keller
3:00–3:30What to Do When Lexicalization Fails: Parsing German with Suffix Analysis and Smoothing
Amit Dubey
 Session M5M: Corpus Annotation
2:30–3:00Detecting Errors in Discontinuous Structural Annotation
Markus Dickinson and W. Detmar Meurers
3:00–3:30High Precision Treebanking—Blazing Useful Trees Using POS Information
Takaaki Tanaka, Francis Bond, Stephan Oepen and Sanae Fujita
3:30–4:00Break
 Session M6R: Machine Learning and Statistical Methods
4:00–4:30A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
Karim Filali and Jeff Bilmes
4:30–5:00Learning Stochastic OT Grammars: A Bayesian Approach using Data Augmentation and Gibbs Sampling
Ying Lin
5:00–5:30Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
Noah A. Smith and Jason Eisner
 Session M6M: Information Extraction
4:00–4:30Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Jenny Rose Finkel, Trond Grenager and Christopher Manning
4:30–5:00Unsupervised Learning of Field Segmentation Models for Information Extraction
Trond Grenager, Dan Klein and Christopher Manning
5:00–5:30A Semantic Approach to IE Pattern Induction
Mark Stevenson and Mark Greenwood

Tuesday, June 28, 2005

 Session M7R: Word Sense Disambiguation
9:00–9:30Word Sense Disambiguation vs. Statistical Machine Translation
Marine Carpuat and Dekai Wu
9:30–10:00Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning
Zheng-Yu Niu, Dong-Hong Ji and Chew Lim Tan
10:00–10:30Domain Kernels for Word Sense Disambiguation
Alfio Gliozzo, Claudio Giuliano and Carlo Strapparava
 Session M7M: Information Extraction
9:00–9:30Improving Name Tagging by Reference Resolution and Relation Detection
Heng Ji and Ralph Grishman
9:30–10:00Extracting Relations with Integrated Information Using Kernel Methods
Shubin Zhao and Ralph Grishman
10:00–10:30Exploring Various Knowledge in Relation Extraction
GuoDong Zhou, Jian Su, Jie Zhang and Min Zhang
 Session M7B: Speech Processing
9:00–9:30A Quantitative Analysis of Lexical Differences Between Genders in Telephone Conversations
Constantinos Boulis and Mari Ostendorf
9:30–10:00Position Specific Posterior Lattices for Indexing Speech
Ciprian Chelba and Alex Acero
10:00–10:30Using Conditional Random Fields for Sentence Boundary Detection in Speech
Yang Liu, Andreas Stolcke, Elizabeth Shriberg and Mary Harper
10:30–11:00Break
11:00–12:00Invited Talk by Michael Jordan
12:000–1:30Lunch
 Session M8R: Machine Translation
1:30–2:00Log-Linear Models for Word Alignment
Yang Liu, Qun Liu and Shouxun Lin
2:00–2:30Alignment Model Adaptation for Domain-Specific Word Alignment
Hua Wu, Haifeng Wang and Zhanyi Liu
2:30–3:00Stochastic Lexicalized Inversion Transduction Grammar for Alignment
Hao Zhang and Daniel Gildea
 Session M8M: Information Extraction
1:30–2:00Multi-Field Information Extraction and Cross-Document Fusion
Gideon Mann and David Yarowsky
2:00–2:30Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin and Pete White
2:30–3:00Resume Information Extraction with Cascaded Hybrid Model
Kun Yu, Gang Guan and Ming Zhou
 Session M8B: Speech and Language Modeling
1:30–2:00Discriminative Syntactic Language Modeling for Speech Recognition
Michael Collins, Brian Roark and Murat Saraclar
2:00–2:30A Phonotactic Language Model for Spoken Language Identification
Haizhou Li and Bin Ma
2:30–3:00Reading Level Assessment Using Support Vector Machines and Statistical Language Models
Sarah Schwarm and Mari Ostendorf
3:00–3:30Break
 Session M9R: Machine Translation
3:30–4:00Clause Restructuring for Statistical Machine Translation
Michael Collins, Philipp Koehn and Ivona Kucerova
4:00–4:30Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
Yuan Ding and Martha Palmer
4:30–5:00Context-Dependent SMT Model using Bilingual Verb-Noun Collocation
Young-Sook Hwang and Yutaka Sasaki
5:00–5:30A Localized Prediction Model for Statistical Machine Translation
Christoph Tillmann and Tong Zhang
 Session M9M: Segmentation, Tagging, and Semantic Role Labeling
3:30–4:00Instance-based Sentence Boundary Determination by Optimization for Natural Language Generation
Shimei Pan and James Shaw
4:00–4:30Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop
Nizar Habash and Owen Rambow
4:30–5:00Semantic Role Labeling Using Different Syntactic Views
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin and Daniel Jurafsky
5:00–5:30Joint Learning Improves Semantic Role Labeling
Kristina Toutanova, Aria Haghighi and Christopher Manning
 Session M9B: Lexical Acquisition from Corpora
3:30–4:00Paraphrasing with Bilingual Parallel Corpora
Colin Bannard and Chris Callison-Burch
4:00–4:30A Nonparametric Method for Extraction of Candidate Phrasal Terms
Paul Deane
4:30–5:00Automatic Acquisition of Adjectival Subcategorization from Corpora
Jeremy Yallop, Anna Korhonen and Ted Briscoe
5:00–5:30Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering
Deepak Ravichandran, Patrick Pantel and Eduard Hovy
5:30–5:45Best Paper Award and Closing