CONLL 2009 | NAACL HLT 2009 | ACL | Instructions for presenters


Thirteenth Conference on Computational Natural Language Learning

West Ballroom, University Memorial Center, 1669 Euclid Ave, Boulder, CO, USA (map)

CONFERENCE PROGRAM

Thursday, June 4, 2009

9:00–9:15Opening Remarks
 Session 1: Parsing and Tagging; Session Chair: Paola Merlo
9:15–9:40Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
Roi Reichart and Ari Rappoport
9:40–10:05Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data
Kathrin Spreyer and Jonas Kuhn
10:05–10:30A Metalearning Approach to Processing the Scope of Negation
Roser Morante and Walter Daelemans
10:30–11:00Coffee Break
 Session 2: Learning Methods; Session Chair: Dan Roth
11:00–11:25Efficient Linearization of Tree Kernel Functions
Daniele Pighin and Alessandro Moschitti
11:25–11:50A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
Michael Bloodgood and Vijay Shanker
11:50–12:40Invited Talk: Joint Inference for Natural Language Processing
Andrew McCallum
12:40–14:00Lunch
 Shared Task: Overview and Oral Presentations
14:00–14:20The 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
14:20–14:30An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling
Qifeng Dai, Enhong Chen and Liu Shi
14:30–14:40Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
Roser Morante, Vincent Van Asch and Antal van den Bosch
14:40–14:50Hybrid Multilingual Parsing with HPSG for SRL
Yi Zhang, Rui Wang and Stephan Oepen
14:50–15:00A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
Andrea Gesmundo, James Henderson, Paola Merlo and Ivan Titov
15:00–15:10Multilingual Semantic Role Labeling
Anders Björkelund, Love Hafdell and Pierre Nugues
15:10–15:20Multilingual Dependency-based Syntactic and Semantic Parsing
Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin and Ting Liu
15:20–15:30Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
Hai Zhao, Wenliang Chen, Chunyu Kity and Guodong Zhou
15:30–15:40Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
Hai Zhao, Wenliang Chen, Jun’ichi Kazama, Kiyotaka Uchimoto and Kentaro Torisawa
15:40–16:10Coffee Break
16:10–18:00Shared Task: Poster Session
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
MultilingualSemantic 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; Session Chair: Walter Daelemans
9:00–9:25Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser
Dmitry Davidov, Roi Reichart and Ari Rappoport
9:25–9:50Representing words as regions in vector space
Katrin Erk
9:50–10:15Interactive Feature Space Construction using Semantic Information
Dan Roth and Kevin Small
10:15–10:40Mining the Web for Reciprocal Relationships
Michael Paul, Roxana Girju and Chen Li
10:40–11:00Coffee Break
 Session 4: Human Behavior; Session Chair: Katrin Erk
11:00–11:25Minimally Supervised Model of Early Language Acquisition
Michael Connor, Yael Gertner, Cynthia Fisher and Dan Roth
11:25–11:50Learning Where to Look: Modeling Eye Movements in Reading
Mattias Nilsson and Joakim Nivre
11:50–12:40Invited talk: Modeling Word Learning As Communicative Inference
Michael C. Frank
12:40–13:40Lunch
13:40–14:10SIGNLL Meeting
14:10–15:30Poster Session
 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
15:30–16:00Coffee Break
 Session 5: Semantic Annotation and Extraction; Session Chair: Lluís Màrquez
16:00–16:25A simple feature-copying approach for long-distance dependencies
Marc Vilain, Jonathan Huggins and Ben Wellner
16:25–16:50Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels
Claudio Giuliano
16:50–17:15Using Encyclopedic Knowledge for Automatic Topic Identification
Kino Coursey, Rada Mihalcea and William Moen
17:15–17:40New Features for FrameNet - WordNet Mapping
Sara Tonelli and Daniele Pighin
17:40–18:00Closing remarks and best paper award


Last update: May 25, 2009. e.f.tjong.kim.sang(at)rug.nl