[Corpora-List] CoNLL-X: Call for Participation

From: Erik Tjong Kim Sang (erikt@science.uva.nl)
Date: Mon May 08 2006 - 13:46:02 MET DST

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                     CoNLL-X: Call for Participation

                                CoNLL-X

       Tenth Conference on Computational 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/

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    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. 19 teams have participated in the task.

    CoNLL-X is held immediately after HLT-NAACL 2006 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

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    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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