| ACL 2005 CD | CoNLL CONFERENCE ON CD | ACL 2005 ONLINE | ACL ONLINE |
CoNLL CONFERENCE PROGRAM
Wednesday June 29, 2005 | |
| 8:45 | Welcome |
| Session 1: Syntax and Semantics | |
| 8:50 | Effective use of WordNet Semantics via Kernel-Based Learning Roberto Basili, Marco Cammisa and Alessandro Moschitti |
| 9:15 | A Statistical Semantic Parser that Integrates Syntax and Semantics Ruifang Ge and Raymond Mooney |
| 9:40 | Search Engine Statistics Beyond the n-Gram: Application to Noun Compound Bracketing Preslav Nakov and Marti Hearst |
| 10:05 | New Experiments in Distributional Representations of Synonymy Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer and Zhiqiang Wang |
| 10:30 | coffee break |
| Session 2: Semantics and Text Classification | |
| 11:00 | Word Independent Context Pair Classification Model for Word Sense Disambiguation Cheng Niu, Wei Li, Rohini K. Srihari and Huifeng Li |
| 11:25 | Computing Word Similarity and Identifying Cognates with Pair Hidden Markov Models Wesley Mackay and Grzegorz Kondrak |
| 11:50 | A Bayesian Mixture Model for Term Re-occurrence and Burstiness Avik Sarkar, Paul H. Garthwaite and Anne De Roeck |
| 12:15 | Domain Kernels for Text Categorization Alfio Gliozzo and Carlo Strapparava |
| 12:40 | lunch |
| Session 3: Information Extraction and Learning Methods | |
| 14:00 | Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification Xin Li and Dan Roth |
| 14:25 | Using Uneven Margins SVM and Perceptron for Information Extraction Yaoyong Li, Kalina Bontcheva and Hamish Cunningham |
| 14:50 | Improving Sequence Segmentation Learning by Predicting Trigrams Antal van den Bosch and Walter Daelemans |
| 15:15 | SIGNLL business meeting |
| 15:40 | coffee break |
| 16:10 | Invited Speaker: Mark Johnson |
| Session 4: Discourse and Anaphora | |
| 17:10 | An Expectation Maximization Approach to Pronoun Resolution Colin Cherry and Shane Bergsma |
| 17:35 | Probabilistic Head-Driven Parsing for Discourse Structure Jason Baldridge and Alex Lascarides |
Thursday June 30, 2005 | |
| Joint Session with Workshop on Psychocomputational Models of Human Language Acquisition | |
| 9:00 | Invited Speaker: Mark Steedman |
| 9:50 | Intentional Context in Situated Natural Language Learning Michael Fleischman and Deb Roy |
| 10:40 | coffee break |
| Session 6: Morphology | |
| 11:10 | Representational Bias in Unsupervised Learning of Syllable Structure Sharon Goldwater and Mark Johnson |
| 11:35 | An Analogical Learner for Morphological Analysis Nicolas Stroppa and François Yvon |
| 12:00 | Morphology Induction from Term Clusters Dayne Freitag |
| 12:25 | lunch |
| Session 7: Learning Methods and Architectures | |
| 14:00 | Beyond the Pipeline: Discrete Optimization in NLP Tomasz Marciniak and Michael Strube |
| 14:25 | Investigating the Effects of Selective Sampling on the Annotation Task Ben Hachey, Beatrice Alex and Markus Becker |
| 14:50 | Shared Task: Introduction and System Descriptions |
| 15:30 | coffee break |
| 16:00 | Shared Task: System Descriptions |
| 17:00 | Shared Task: Discussion |
| 18:00 | Closing |
| Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling Xavier Carreras and Lluís Màrquez | |
| Inferring Semantic Roles Using Sub-Categorization Frames and Maximum Entropy Model Akshar Bharati, Sriram Venkatapathy and Prashanth Reddy | |
| Semantic Role Labelling with Tree Conditional Random Fields Trevor Cohn and Philip Blunsom | |
| A Joint Model for Semantic Role Labeling Aria Haghighi, Kristina Toutanova and Christopher Manning | |
| Sparse Bayesian Classification of Predicate Arguments Richard Johansson and Pierre Nugues | |
| Generalized Inference with Multiple Semantic Role Labeling Systems Peter Koomen, Vasin Punyakanok, Dan Roth and Wen-tau Yih | |
| Semantic Role Labeling via Consensus in Pattern-Matching Chi-San Lin and Tony C. Smith | |
| Semantic Role Labeling System Using Maximum Entropy Classifier Ting Liu, Wanxiang Che, Sheng Li, Yuxuan Hu and Huaijun Liu | |
| Semantic Role Labeling as Sequential Tagging Lluís Màrquez, Pere Comas, Jesús Giménez and Neus Català | |
| Semantic Role Labeling Using Support Vector Machines Tomohiro Mitsumori, Masaki Murata, Yasushi Fukuda, Kouichi Doi and Hirohumi Doi | |
| Hierarchical Semantic Role Labeling Alessandro Moschitti, Ana-Maria Giuglea, Bonaventura Coppola and Roberto Basili | |
| Semantic Role Labeling Using libSVM Necati Ercan Ozgencil and Nancy McCracken | |
| Maximum Entropy Based Semantic Role Labeling Kyung-Mi Park and Hae-Chang Rim | |
| Semantic Role Labeling Using Lexical Statistical Information Simone Paolo Ponzetto and Michael Strube | |
| Semantic Role Chunking Combining Complementary Syntactic Views Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James H. Martin and Daniel Jurafsky | |
| Semantic Role Labeling Using Complete Syntactic Analysis Mihai Surdeanu and Jordi Turmo | |
| Joint Parsing and Semantic Role Labeling Charles Sutton and Andrew McCallum | |
| Applying Spelling Error Correction Techniques for Improving Semantic Role Labelling Erik Tjong Kim Sang, Sander Canisius, Antal van den Bosch and Toine Bogers | |
| Exploiting Full Parsing Information to Label Semantic Roles Using an Ensemble of ME and SVM via Integer Linear Programming Tzong-Han Tsai, Chia-Wei Wu, Yu-Chun Lin and Wen-Lian Hsu | |
| The Integration of Syntactic Parsing and Semantic Role Labeling Szu-ting Yi and Martha Palmer | |