| NAACL HLT 2009 CD | CONFERENCE ON CD | NAACL HLT 2009 Online | ACL Online |
CONFERENCE PROGRAM
| Joint Inference for Natural Language Processing Andrew McCallum | |
| Modeling Word Learning As Communicative Inference Michael C. Frank | |
Thursday, June 4, 2009 | |
| 9:00–9:15 | Opening Remarks |
| Session 1: Parsing and Tagging | |
| 9:15–9:40 | Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures Roi Reichart and Ari Rappoport |
| 9:40–10:05 | Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data Kathrin Spreyer and Jonas Kuhn |
| 10:05–10:30 | A Metalearning Approach to Processing the Scope of Negation Roser Morante and Walter Daelemans |
| 10:30–11:00 | Coffee Break |
| Session 2: Learning Methods | |
| 11:00–10:25 | Efficient Linearization of Tree Kernel Functions Daniele Pighin and Alessandro Moschitti |
| 11:25–11:40 | A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping Michael Bloodgood and Vijay Shanker |
| 11:40–12:40 | Invited Talk: page.1Joint Inference for Natural Language Processing Andrew McCallum |
| 12:40–14:00 | Lunch |
| Shared Task: Overview and Oral Presentations | |
| 14:00–14:20 | The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages 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 and Yi Zhang |
| 14:20–14:30 | An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling Qifeng Dai, Enhong Chen and Liu Shi |
| 14:30–14:40 | Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages Roser Morante, Vincent Van Asch and Antal van den Bosch |
| 14:40–14:50 | Hybrid Multilingual Parsing with HPSG for SRL Yi Zhang, Rui Wang and Stephan Oepen |
| 14:50–15:00 | A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages Andrea Gesmundo, James Henderson, Paola Merlo and Ivan Titov |
| 15:00–15:10 | Multilingual Semantic Role Labeling Anders Björkelund, Love Hafdell and Pierre Nugues |
| 15:10–15:20 | Multilingual Dependency-based Syntactic and Semantic Parsing Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin and Ting Liu |
| 15:20–15:30 | Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing Hai Zhao, Wenliang Chen, Chunyu Kity and Guodong Zhou |
| 15:30–15:40 | Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies Hai Zhao, Wenliang Chen, Jun’ichi Kazama, Kiyotaka Uchimoto and Kentaro Torisawa |
| 15:40–16:10 | Coffee Break |
| Shared Task: Poster Session (16:10–18:00) | |
| Multilingual | Semantic Role Labeling Anders Björkelund, Love Hafdell and Pierre Nugues |
| Efficient | Parsing of Syntactic and Semantic Dependency Structures Berud Bohnet |
| Multilingual | Dependency-based Syntactic and Semantic Parsing Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin and Ting Liu |
| An | Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling Qifeng Dai, Enhong Chen and Liu Shi |
| A | Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages Andrea Gesmundo, James Henderson, Paola Merlo and Ivan Titov |
| Exploring | Multilingual Semantic Role Labeling Baoli Li, Martin Emms, Saturnino Luz and Carl Vogel |
| A | Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing Xavier Lluís, Stefan Bott and Lluís Màrquez |
| Multilingual | Semantic Role Labelling with Markov Logic Ivan Meza-Ruiz and Sebastian Riedel |
| Joint | Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages Roser Morante, Vincent Van Asch and Antal van den Bosch |
| The | Crotal SRL System : a Generic Tool Based on Tree-structured CRF Erwan Moreau and Isabelle Tellier |
| Parsing | Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach Han Ren, Donghong Ji, Jing Wan and Mingyao Zhang |
| Multilingual | Semantic Parsing with a Pipeline of Linear Classifiers Oscar Täckström |
| A | Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models Buzhou Tang, Lu Li, Xinxin Li, Xuan Wang and Xiaolong Wang |
| Multilingual | Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models Yotaro Watanabe, Masayuki Asahara and Yuji Matsumoto |
| A | Simple Generative Pipeline Approach to Dependency Parsing and Semantic Role Labeling Daniel Zeman |
| Hybrid | Multilingual Parsing with HPSG for SRL Yi Zhang, Rui Wang and Stephan Oepen |
| Multilingual | Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies Hai Zhao, Wenliang Chen, Jun’ichi Kazama, Kiyotaka Uchimoto and Kentaro Torisawa |
| Multilingual | Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing Hai Zhao, Wenliang Chen, Chunyu Kity and Guodong Zhou |
Friday, June 5, 2009 | |
| Session 3: Learning and Semantics | |
| 9:00–9:25 | Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser Dmitry Davidov, Roi Reichart and Ari Rappoport |
| 9:25–9:50 | Representing words as regions in vector space Katrin Erk |
| 9:50–10:15 | Interactive Feature Space Construction using Semantic Information Dan Roth and Kevin Small |
| 10:15–10:40 | Mining the Web for Reciprocal Relationships Michael Paul, Roxana Girju and Chen Li |
| 10:40–11:00 | Coffee Break |
| Session 4: Human Behavior | |
| 11:00–11:25 | Minimally Supervised Model of Early Language Acquisition Michael Connor, Yael Gertner, Cynthia Fisher and Dan Roth |
| 11:25–11:40 | Learning Where to Look: Modeling Eye Movements in Reading Mattias Nilsson and Joakim Nivre |
| 11:40–12:40 | Invited talk: page.2Modeling Word Learning As Communicative Inference Michael C. Frank |
| 12:40–14:00 | Lunch |
| 13:45–14:15 | SIGNLL Meeting |
| Poster Session (14:00–15:30) | |
| Monte Carlo inference and maximization for phrase-based translation Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez and Philipp Koehn | |
| Investigating Automatic Alignment Methods for Slide Generation from Academic Papers Brandon Beamer and Roxana Girju | |
| Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender Shane Bergsma, Dekang Lin and Randy Goebel | |
| Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences Nikesh Garera, Chris Callison-Burch and David Yarowsky | |
| An Intrinsic Stopping Criterion for Committee-Based Active Learning Fredrik Olsson and Katrin Tomanek | |
| Design Challenges and Misconceptions in Named Entity Recognition Lev Ratinov and Dan Roth | |
| Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser Roi Reichart and Ari Rappoport | |
| The NVI Clustering Evaluation Measure Roi Reichart and Ari Rappoport | |
| Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction? Erik Tjong Kim Sang and Katja Hofmann | |
| Improving Text Classification by a Sense Spectrum Approach to Term Expansion Peter Wittek, Sándor Darányi and Chew Lim Tan | |
| 15:30–16:00 | Coffee Break |
| Session 5: Semantic Annotation and Extraction | |
| 16:00–16:25 | A simple feature-copying approach for long-distance dependencies Marc Vilain, Jonathan Huggins and Ben Wellner |
| 16:25–16:50 | Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels Claudio Giuliano |
| 16:50–17:15 | Using Encyclopedic Knowledge for Automatic Topic Identification Kino Coursey, Rada Mihalcea and William Moen |
| 17:15–17:40 | New Features for FrameNet - WordNet Mapping Sara Tonelli and Daniele Pighin |
| 17:40–18:00 | Closing remarks and best paper award |