[Corpora-List] CoNLL-2004 Deadline Extended!

From: Ellen Riloff (riloff@cs.utah.edu)
Date: Fri Feb 06 2004 - 04:21:43 MET

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    Final Call for Papers

            *** DEADLINE EXTENDED: Feb 11, 2004 ***

    CoNLL-2004: Eighth Conference on Computational Natural Language
    Learning

    Organized at HLT/NAACL 2004, Boston, MA, USA

    May 6-7, 2004

    http://cnts.uia.ac.be/conll2004/

    CoNLL is an international conference for discussion and presentation
    of research on natural language learning. We invite submission of
    papers about natural language learning topics, including, but not
    limited to:

    - Computational models of human language acquisition
    - Computational models of the evolution of language
    - Machine learning methods applied to natural language processing
      tasks (speech processing, phonology, morphology, syntax,
      semantics, discourse processing, language engineering
      applications)
    - Symbolic learning methods (Rule Induction and Decision Tree
      Learning, Lazy Learning, Inductive Logic Programming, Analytical
      Learning, Transformation-based Error-driven Learning)
    - Biologically-inspired methods (Neural Networks, Evolutionary
      Computing)
    - Statistical methods (Bayesian Learning, HMM, maximum entropy,
      SNoW, Support Vector Machines)
    - Reinforcement Learning
    - Active learning, ensemble methods, meta-learning
    - Computational Learning Theory analysis of language learning
    - Empirical and theoretical comparisons of language learning methods
    - Models of induction and analogy in Linguistics

    We encourage the submission of papers combining (statistical) machine
    learning with symbolic knowledge sources.

    CoNLL is the yearly conference organized by SIGNLL, the Association
    for Computational Linguistics Special Interest Group on Natural
    Language Learning. Previous CoNLL meetings were held in Madrid (1997),
    Sydney (1998), Bergen (1999), Lisbon (2000), Toulouse (2001), Taipei
    (2002), and Edmonton (2003).

    See http://www.aclweb.org/signll/ and http://ilk.uvt.nl/~signll/conll.html
    for more information about SIGNLL and CoNLL.

    Shared Task

    This year's conference will also accept submissions for a shared task:
    machine learning approaches to automatic labeling of semantic roles.
    Participant groups will use the same training and testing material,
    and the evaluation will be done according to fixed criteria, thus
    allowing comparison between various learning strategies.

    More information on the shared task is available at the shared task
    web page:

    http://cnts.uia.ac.be/conll2004/roles/

    Invited Speaker

    To be announced later.

    Submissions

    Main Session Submissions

    A paper submitted to CoNLL-2004 must describe original, unpublished
    work. Submit a full paper of no more than 8 pages in PDF format by Feb
    11, 2004 electronically to the email address
    conll04@comp.nus.edu.sg. The subject line of the email message should
    be "CoNLL-2004 submission", with the PDF paper as an attachment
    file. Only email submissions will be accepted. The submitted paper
    should be in two column format and follow the ACL style. Since
    reviewing will be blind, the paper should not include the authors'
    names and affiliations, and there should be no self-references that
    reveal the authors' identity. In the submission email message body,
    include the following information: paper title, authors' names,
    affiliations, and email addresses, contact author's email address, a
    list of keywords, abstract, and an indication of whether the paper has
    been simultaneously submitted to other conferences (and if so which
    conferences). The contact author of an accepted paper under multiple
    submissions should inform the program co-chairs immediately whether he
    or she intends the accepted paper to appear in CoNLL-2004. A paper
    that appears in CoNLL-2004 must be withdrawn from other conferences.

    Authors of accepted submissions are to produce a final paper to be
    published in the proceedings of the conference, which will be
    available at the conference for participants, and distributed
    afterwards by ACL. Final papers must follow the ACL style and are due
    Mar 15, 2004.

    Shared Task Submissions

    Submit a paper of maximum 4 pages describing the learning approach,
    and your results on the development set by Feb 23, 2004 to the email
    address conll04st@lsi.upc.es (see the shared task web page for
    concrete formats and styles). A special section of the proceedings
    will be devoted to a comparison and analysis of the results and to a
    description of the approaches used.

    Important Dates

    Deadline for main session paper submission: Feb 11, 2004
    Deadline for shared task submission: Feb 23, 2004
    Notification of acceptance: Mar 1, 2004
    Deadline for camera-ready papers: Mar 15, 2004
    Conference: May 6-7, 2004

    Conference Organizers

    Hwee Tou Ng
    Department of Computer Science
    School of Computing
    National University of Singapore
    3 Science Drive 2
    Singapore 117543
    Email: nght@comp.nus.edu.sg

    and

    Ellen Riloff
    School of Computing
    University of Utah
    50 S. Central Campus Drive, RM 3190 MEB
    Salt Lake City, UT 84112-9205
    USA
    Email: riloff@cs.utah.edu

    Shared Task Organizers

    Xavier Carreras and Lluis Marquez
    Software Department (LSI),
    Technical University of Catalonia (UPC, Campus Nord).
    Jordi Girona Salgado 1-3
    Barcelona E-08034, Catalonia Spain
    Email: {carreras,lluism}@lsi.upc.es

    Program Committee

    Hwee Tou Ng, National University of Singapore (Singapore), co-chair
    Ellen Riloff, University of Utah (USA), co-chair
    Xavier Carreras, UPC (Spain), shared task co-chair
    Lluis Marquez, UPC (Spain), shared task co-chair
    Steven Abney, University of Michigan (USA)
    Regina Barzilay, Massachusetts Institute of Technology (USA)
    Thorsten Brants, Google Inc (USA)
    Claire Cardie, Cornell University (USA)
    Eugene Charniak, Brown University (USA)
    James Cussens, University of York (UK)
    Walter Daelemans, University of Antwerp (Belgium)
    Ido Dagan, Bar Ilan University / LingoMotors (Israel)
    Radu Florian, IBM (USA)
    Ulf Hermjakob, USC Information Sciences Institute (USA)
    Hang Li, Microsoft (China)
    Dekang Lin, University of Alberta (Canada)
    Diane Litman, University of Pittsburgh (USA)
    Yuji Matsumoto, Nara Institute of Science and Technology (Japan)
    Rada Mihalcea, University of North Texas (USA)
    Raymond Mooney, University of Texas at Austin (USA)
    John Nerbonne, University of Groningen (Netherlands)
    Grace Ngai, Hong Kong Polytechnic University (Hong Kong)
    Franz Josef Och, USC Information Sciences Institute (USA)
    Miles Osborne, University of Edinburgh (UK)
    Ted Pedersen, University of Minnesota, Duluth (USA)
    David Pierce, SUNY Buffalo (USA)
    David Powers, Flinders University (Australia)
    Adwait Ratnaparkhi, Microsoft (USA)
    Dan Roth, University of Illinois at Urbana-Champaign (USA)
    Erik Tjong Kim Sang, University of Antwerp (Belgium)
    Anoop Sarkar, Simon Fraser University (Canada)
    Suzanne Stevenson, University of Toronto (Canada)
    Cynthia Thompson, University of Utah (USA)
    Antal van den Bosch, Tilburg University (Netherlands)
    Janyce Wiebe, University of Pittsburgh (USA)



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