17.1412, Confs: Cognitive Science/New York City, USA

Sun May 7 21:16:55 UTC 2006

LINGUIST List: Vol-17-1412. Sun May 07 2006. ISSN: 1068 - 4875.

Subject: 17.1412, Confs: Cognitive Science/New York City, USA

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            Helen Aristar-Dry, Eastern Michigan U <hdry at linguistlist.org>

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        Laura Buszard-Welcher, U of California, Berkeley  
        Sheila Dooley, U of Arizona  
        Terry Langendoen, U of Arizona  

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1)
Date: 03-May-2006
From: Erik Tjong Kim Sang < erikt at science.uva.nl >
Subject: 10th Conference on Computational Natural Language Learning 

-------------------------Message 1 ---------------------------------- 
Date: Sun, 07 May 2006 17:14:28
From: Erik Tjong Kim Sang < erikt at science.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: lluism at lsi.upc.edu 
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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