LINGUIST List 17.1412
Sun May 07 2006
Confs: Cognitive Science/New York City, USA
Editor for this issue: Kevin Burrows
<kevinlinguistlist.org>
Directory
1. Erik
Tjong Kim Sang,
10th Conference on Computational Natural Language Learning
Message 1: 10th Conference on Computational Natural Language Learning
Date: 03-May-2006
From: Erik Tjong Kim Sang <eriktscience.uva.nl>
Subject: 10th Conference on Computational Natural Language Learning
10th Conference on Computational Natural Language Learning
Short Title: CoNLL-X
Date: 08-Jun-2006 - 09-Jun-2006
Location: New York City, USA
Contact: Lluis Marquez
Contact Email: < click here to access email >
Meeting URL: http://www.cnts.ua.ac.be/conll/
Linguistic Field(s): Computational Linguistics
Meeting Description:
CoNLL-X is the tenth annual conference of ACL's Special Interest Group on Natural Language Learning (SIGNLL).
CoNLL-X: Call for Participation
CoNLL-X
Tenth Conference on Natural Language Learning
New York Marriott at the Brooklyn Bridge 333 Adams Street, Brooklyn, New York City, USA
June 8-9, 2006
http://www.cnts.ua.ac.be/conll/
Dear Colleagues,
The CoNLL programme committee and organisers and SIGNLL, ACL's special interest group on natural language learning, are pleased to invite you to participate in CoNLL-X, the Tenth Conference on Natural Language Learning. The conference programme is available on http://www.cnts.ua.ac.be/conll/programme.html
CoNLL-X features two invited talks: one by Michael Collins (MIT Computer Science and Artificial Intelligence Laboratory) and one by Walter Daelemans (University of Antwerp). CoNLL-X also includes presentations on its yearly shared task (included since 1999). In 2006 the topic of the shared task is Multi-lingual Dependency Parsing. 18 teams have participated in the task.
CoNLL-X is held immediately after HLT-NAACL 2006 as a two-day workshop on June 8-9 in the New York Marriott hotel in New York City.
On-line registration for CoNLL (as part of registering for HLT-NAACL) is open until May 26 at http://www.aclweb.org/membership/hltnaacl2006reg.php
CONLL-X PROGRAMME SUMMARY
THURSDAY, JUNE 8
Session: Syntax and Statistical Parsing:
* Porting Statistical Parsers with Data-Defined Kernels (Ivan Titov and James Henderson) * Non-Local Modeling with a Mixture of PCFGs (Slav Petrov, Leon Barrett and Dan Klein) * Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization (Qin Iris Wang, Colin Cherry, Dan Lizotte and Dale Schuurmans) * What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions. (Willem Zuidema)
Invited Talk by Michael Collins
Session: Anaphora Resolution and Paraphrasing
* Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora (Nikesh Garera and David Yarowsky) * Investigating Lexical Substitution Scoring for Subtitle Generation (Oren Glickman, Ido Dagan, Mikaela Keller, Samy Bengio and Walter Daelemans)
Shared Task on Multi-lingual Dependency Parsing
FRIDAY, JUNE 9
Session: Semantic Role Labeling and Semantics
* Semantic Role Recognition using Kernels on Weighted Marked Ordered Labeled Trees (Jun'ichi Kazama and Kentaro Torisawa) * Semantic Role Labeling via Tree Kernel Joint Inference (Alessandro Moschitti, Daniele Pighin and Roberto Basili) * Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification? (Sabine Schulte im Walde) * Applying Alternating Structure Optimization to Word Sense Disambiguation (Rie Kubota Ando)
Invited Talk by Walter Daelemans: A Mission for Computational Natural Language Learning
Session: Syntax and Unsupervised Learning
* Unsupervised Parsing with U-DOP (Rens Bod) * A lattice-based framework for enhancing statistical parsers with information from unlabeled corpora (Michaela Atterer and Hinrich Schuetze)
Session: Thematic Segmentation and Discourse Analysis
* Word Distributions for Thematic Segmentation in a Support Vector Machine Approach (Maria Georgescul, Alexander Clark and Susan Armstrong) * Which Side are You on? Identifying Perspectives at the Document and Sentence Levels (Wei-Hao Lin, Theresa Wilson, Janyce Wiebe and Alexander Hauptmann)
Session: Grammatical Inference
* Unsupervised Grammar Induction by Distribution and Attachment (David J. Brooks) * Learning Auxiliary Fronting with Grammatical Inference (Alexander Clark and Rémi Eyraud
Session: Information Extraction and Named Entity Extraction
* Using Gazetteers in Discriminative Information Extraction (Andrew Smith and Miles Osborne) * A Context Pattern Induction Method for Named Entity Extraction (Partha Pratim Talukdar, Thorsten Brants, Mark Liberman and Fernando Pereira)
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