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LINGUIST List 17.1412

Sun May 07 2006

Confs: Cognitive Science/New York City, USA

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        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 RĂ©mi 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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