Sunday, June 26, 2005 |
8:45–9:00 | Opening |
9:00–10:00 | Invited Talk by Justine Cassell |
10:00–10:30 | Break |
| Session M1R: Machine Learning and Statistical Models |
10:30–11:00 | A High-Performance Semi-Supervised Learning Method for Text Chunking
Rie Ando and Tong Zhang |
11:00–11:30 | Scaling Conditional Random Fields Using Error-Correcting Codes
Trevor Cohn, Andrew Smith and Miles Osborne |
11:30–12:00 | Logarithmic Opinion Pools for Conditional Random Fields
Andrew Smith, Trevor Cohn and Miles Osborne |
| Session M1M: Word Sense Disambiguation |
10:30–11:00 | Supersense Tagging of Unknown Nouns Using Semantic Similarity
James Curran |
11:00–11:30 | Learning Semantic Classes for Word Sense Disambiguation
Upali Sathyajith Kohomban and Wee Sun Lee |
11:30–12:00 | The Role of Semantic Roles in Disambiguating Verb Senses
Hoa Trang Dang and Martha Palmer |
| Session M1B: Generation |
10:30–11:00 | Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring Systems
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan Haller and Michael Glass |
11:00–11:30 | Empirically-based Control of Natural Language Generation
Daniel S. Paiva and Roger Evans |
11:30–12:00 | Towards Developing Generation Algorithms for Text-to-Text Applications
Radu Soricut and Daniel Marcu |
12:00–1:30 | Lunch |
| Session M2R: Parsing |
1:30–2:00 | Probabilistic CFG with Latent Annotations
Takuya Matsuzaki, Yusuke Miyao and Jun’ichi Tsujii |
2:00–2:30 | Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing
Yusuke Miyao and Jun’ichi Tsujii |
2:30–3:00 | Online Large-Margin Training of Dependency Parsers
Ryan McDonald, Koby Crammer and Fernando Pereira |
3:00–3:30 | Pseudo-Projective Dependency Parsing
Joakim Nivre and Jens Nilsson |
| Session M2M: Semantics |
1:30–2:00 | The Distributional Inclusion Hypotheses and Lexical Entailment
Maayan Geffet and Ido Dagan |
2:00–2:30 | Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
Bo Pang and Lillian Lee |
2:30–3:00 | Inducing Ontological Co-occurrence Vectors
Patrick Pantel |
3:00–3:30 | Extracting Semantic Orientations of Words using Spin Model
Hiroya Takamura, Takashi Inui and Manabu Okumura |
| Session M2B: Discourse |
1:30–2:00 | Modeling Local Coherence: An Entity-Based Approach
Regina Barzilay and Mirella Lapata |
2:00–2:30 | Modelling the Substitutability of Discourse Connectives
Ben Hutchinson |
2:30–3:00 | Machine Learning for Coreference Resolution: From Local Classification to Global Ranking
Vincent Ng |
3:00–3:30 | Improving Pronoun Resolution Using Statistics-Based Semantic Compatibility Information
Xiaofeng Yang, Jian Su and Chew Lim Tan |
3:30–4:00 | Break |
| Session M3R: Parsing |
4:00–4:30 | Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
Eugene Charniak and Mark Johnson |
4:30–5:00 | Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models
James Henderson and Ivan Titov |
5:00–5:30 | Boosting-based Parse Reranking with Subtree Features
Taku Kudo, Jun Suzuki and Hideki Isozaki |
5:30–6:00 | Automatic Measurement of Syntactic Development in Child Language
Kenji Sagae, Alon Lavie and Brian MacWhinney |
| Session M3M: Question Answering |
4:00–4:30 | Experiments with Interactive Question-Answering
Sanda Harabagiu, Andrew Hickl, John Lehmann and Dan Moldovan |
4:30–5:00 | Question Answering as Question-Biased Term Extraction: A New Approach toward Multilingual QA
Yutaka Sasaki |
| Session M3B: Discourse and Dialogue |
4:00–4:30 | Exploring 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 |
4:30–5:00 | Scaling up from Dialogue to Multilogue: Some Principles and Benchmarks
Jonathan Ginzburg and Raquel Fernández |
5:00–5:30 | Implications for Generating Clarification Requests in Task-Oriented Dialogues
Verena Rieser and Johanna Moore |
5:30–6:00 | Towards 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 |
9:00–9:30 | Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases
Chris Callison-Burch, Colin Bannard and Josh Schroeder |
9:30–10:00 | A Hierarchical Phrase-Based Model for Statistical Machine Translation
David Chiang |
10:00–10:30 | Dependency Treelet Translation: Syntactically Informed Phrasal SMT
Chris Quirk, Arul Menezes and Colin Cherry |
| Session M4M: Summarization |
9:00–9:30 | QARLA: A Framework for the Evaluation of Text Summarization Systems
Enrique Amigó, Julio Gonzalo, Anselmo Peñas and Felisa Verdejo |
9:30–10:00 | Supervised and Unsupervised Learning for Sentence Compression
Jenine Turner and Eugene Charniak |
10:00–10:30 | Digesting Virtual “Geek” Culture: The Summarization of Technical Internet Relay Chats
Liang Zhou and Eduard Hovy |
10:30–11:00 | Break |
11:00–12:00 | Lifetime Achievement Award and Talk |
12:00–1:30 | Lunch |
1:30–2:30 | ACL Business Meeting |
| Session M5R: Parsing |
2:30–3:00 | Lexicalization in Crosslinguistic Probabilistic Parsing: The Case of French
Abhishek Arun and Frank Keller |
3:00–3:30 | What to Do When Lexicalization Fails: Parsing German with Suffix Analysis and Smoothing
Amit Dubey |
| Session M5M: Corpus Annotation |
2:30–3:00 | Detecting Errors in Discontinuous Structural Annotation
Markus Dickinson and W. Detmar Meurers |
3:00–3:30 | High Precision Treebanking—Blazing Useful Trees Using POS Information
Takaaki Tanaka, Francis Bond, Stephan Oepen and Sanae Fujita |
3:30–4:00 | Break |
| Session M6R: Machine Learning and Statistical Methods |
4:00–4:30 | A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
Karim Filali and Jeff Bilmes |
4:30–5:00 | Learning Stochastic OT Grammars: A Bayesian Approach using Data Augmentation and Gibbs Sampling
Ying Lin |
5:00–5:30 | Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
Noah A. Smith and Jason Eisner |
| Session M6M: Information Extraction |
4:00–4:30 | Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Jenny Rose Finkel, Trond Grenager and Christopher Manning |
4:30–5:00 | Unsupervised Learning of Field Segmentation Models for Information Extraction
Trond Grenager, Dan Klein and Christopher Manning |
5:00–5:30 | A Semantic Approach to IE Pattern Induction
Mark Stevenson and Mark Greenwood |
Tuesday, June 28, 2005 |
| Session M7R: Word Sense Disambiguation |
9:00–9:30 | Word Sense Disambiguation vs. Statistical Machine Translation
Marine Carpuat and Dekai Wu |
9:30–10:00 | Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning
Zheng-Yu Niu, Dong-Hong Ji and Chew Lim Tan |
10:00–10:30 | Domain Kernels for Word Sense Disambiguation
Alfio Gliozzo, Claudio Giuliano and Carlo Strapparava |
| Session M7M: Information Extraction |
9:00–9:30 | Improving Name Tagging by Reference Resolution and Relation Detection
Heng Ji and Ralph Grishman |
9:30–10:00 | Extracting Relations with Integrated Information Using Kernel Methods
Shubin Zhao and Ralph Grishman |
10:00–10:30 | Exploring Various Knowledge in Relation Extraction
GuoDong Zhou, Jian Su, Jie Zhang and Min Zhang |
| Session M7B: Speech Processing |
9:00–9:30 | A Quantitative Analysis of Lexical Differences Between Genders in Telephone Conversations
Constantinos Boulis and Mari Ostendorf |
9:30–10:00 | Position Specific Posterior Lattices for Indexing Speech
Ciprian Chelba and Alex Acero |
10:00–10:30 | Using Conditional Random Fields for Sentence Boundary Detection in Speech
Yang Liu, Andreas Stolcke, Elizabeth Shriberg and Mary Harper |
10:30–11:00 | Break |
11:00–12:00 | Invited Talk by Michael Jordan |
12:000–1:30 | Lunch |
| Session M8R: Machine Translation |
1:30–2:00 | Log-Linear Models for Word Alignment
Yang Liu, Qun Liu and Shouxun Lin |
2:00–2:30 | Alignment Model Adaptation for Domain-Specific Word Alignment
Hua Wu, Haifeng Wang and Zhanyi Liu |
2:30–3:00 | Stochastic Lexicalized Inversion Transduction Grammar for Alignment
Hao Zhang and Daniel Gildea |
| Session M8M: Information Extraction |
1:30–2:00 | Multi-Field Information Extraction and Cross-Document Fusion
Gideon Mann and David Yarowsky |
2:00–2:30 | Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin and Pete White |
2:30–3:00 | Resume Information Extraction with Cascaded Hybrid Model
Kun Yu, Gang Guan and Ming Zhou |
| Session M8B: Speech and Language Modeling |
1:30–2:00 | Discriminative Syntactic Language Modeling for Speech Recognition
Michael Collins, Brian Roark and Murat Saraclar |
2:00–2:30 | A Phonotactic Language Model for Spoken Language Identification
Haizhou Li and Bin Ma |
2:30–3:00 | Reading Level Assessment Using Support Vector Machines and Statistical Language Models
Sarah Schwarm and Mari Ostendorf |
3:00–3:30 | Break |
| Session M9R: Machine Translation |
3:30–4:00 | Clause Restructuring for Statistical Machine Translation
Michael Collins, Philipp Koehn and Ivona Kucerova |
4:00–4:30 | Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
Yuan Ding and Martha Palmer |
4:30–5:00 | Context-Dependent SMT Model using Bilingual Verb-Noun Collocation
Young-Sook Hwang and Yutaka Sasaki |
5:00–5:30 | A Localized Prediction Model for Statistical Machine Translation
Christoph Tillmann and Tong Zhang |
| Session M9M: Segmentation, Tagging, and Semantic Role Labeling |
3:30–4:00 | Instance-based Sentence Boundary Determination by Optimization for Natural Language Generation
Shimei Pan and James Shaw |
4:00–4:30 | Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop
Nizar Habash and Owen Rambow |
4:30–5:00 | Semantic Role Labeling Using Different Syntactic Views
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin and Daniel Jurafsky |
5:00–5:30 | Joint Learning Improves Semantic Role Labeling
Kristina Toutanova, Aria Haghighi and Christopher Manning |
| Session M9B: Lexical Acquisition from Corpora |
3:30–4:00 | Paraphrasing with Bilingual Parallel Corpora
Colin Bannard and Chris Callison-Burch |
4:00–4:30 | A Nonparametric Method for Extraction of Candidate Phrasal Terms
Paul Deane |
4:30–5:00 | Automatic Acquisition of Adjectival Subcategorization from Corpora
Jeremy Yallop, Anna Korhonen and Ted Briscoe |
5:00–5:30 | Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering
Deepak Ravichandran, Patrick Pantel and Eduard Hovy |
5:30–5:45 | Best Paper Award and Closing |