[Corpora-List] HLT/NAACL-2003 Workahop Revised CFP & Deadline Extension: Learning Word Meaning from Non-Linguistic Data

From: Priscilla Rasmussen (rasmusse@cs.rutgers.edu)
Date: Mon Mar 03 2003 - 20:31:49 MET

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                       Call for Papers (Extended Deadline)

                            HLT-NAACL03 Workshop on

                  Learning Word Meaning from Non-Linguistic Data

                                 31 May 2003
                              Edmonton, Canada

               Home page: http://www.cs.cornell.edu/~regina/lwm03/

    ** Submission deadline extended to 17 March 2003
    ** Submissions can be short papers (4 pages) as well as full papers (8
    pages)

    HLT-NAACL03 Home page:
       http://www.sims.berkeley.edu/research/conferences/hlt-naacl03

    Endorsed by:
     SIGSEM, the ACL Special Interest Group in Computational Semantics
     SIGGEN, the ACL Special Interest Group in Generation
     SIGLEX, the ACL Special Interest Group on the Lexicon

    One of the grand challenges of NLP, AI, and Cognitive Science is to develop
    models of what words mean (lexical semantics) in terms of the non-linguistic
    world. Recently there has been growing interest in using corpus and data
    based techniques for this task. In other words, trying to learn what
    words mean by analysing a `parallel corpus' of (A) non-linguistic data
    and (B) linguistic texts that describe or otherwise are based on the
    non-linguistic data. Recent examples of such work include learning
    verb semantics from visual-image sequences; learning the meaning of
    time phrases from a collection of weather forecasts based on numerical
    weather simulations; and learning the meaning of mathematical predicates
    from human verbalisations of theorem-prover output.

    We invite people interested in this topic to submit papers to the workshop.
    Possible topics include (but are not limited to)
    * Example analyses of word meanings based on non-linguistic data.
    * Discussion of relevant algorithms and techniques, for example for
      aligning texts with non-linguistic data.
    * Applications that exploit lexical semantic models learned from
      non-linguistic data.
    * Resources, such as parallel text-data corpora, that can be used by other
      researchers interested in this area.
    As this is a workshop, we welcome papers that present work in progress
    as well as papers that present completed work.

    Papers that focus on learning semantic information from conventional
    text-only corpora are less appropriate for this workshop, and should
    be submitted elsewhere.

    We hope that this workshop will help "gel" this new and exciting research
    area, by bringing together interested people who may not be aware of what
    is being done elsewhere. Participants from other area of AI and Cognitive
    Science are very welcome, including vision and robotics researchers who
    are interested in learning how to relate sensor data to words, and
    psychologists who are interested in cognitive models of how people learn
    to relate words to the non-linguistic world.

    SUBMISSIONS

    We welcome both short papers (up to 4 pages) and full papers (up to 8
    pages).

    Papers should be formatted according to the HLT-NAACL guidelines
      http://www.sims.berkeley.edu/research/conferences/hlt-naacl03/format.html
    Do not anonymise submissions, since reviewing for the workshop will not
    be blind. Authors are strongly encouraged to use the style files
    accessible through the above web page.

    Send your submission to Ehud Reiter (ereiter@csd.abdn.ac.uk). Please
    indicate
    whether your submission is a short paper or a full paper.

    IMPORTANT DATES

    Paper submissions: 17 March 2003
    Notification of acceptance: 1 April 2003
    Camera-ready copies due: 8 April 2003
    Registration deadline: as HLT-NAACL03
    Workshop date: 31 May 2003

    ORGANISERS

    Regina Barzilay, Cornell University
    Ehud Reiter, University of Aberdeen
    Jeffrey Mark Siskind, Purdue University

    PROGRAM COMMITTEE

    Kobus Barnard, University of Arizona
    Paul Cohen, UMass Amherst
    Peter Dominey, CNRS
    Phil Edmonds, Sharp Laboratories of Europe
    Allen Gorin, AT&T Research Labs
    Graeme Hirst, University of Toronto
    Lillian Lee, Cornell University
    Tim Oates, University of Maryland Baltimore County
    Terry Regier, University of Chicago
    Deb Roy, MIT Media Lab

    FURTHER INFORMATION

    For more information, please see the workshop web page at
    http://www.cs.cornell.edu/~regina/lwm03/
    or contact Ehud Reiter at ereiter@csd.abdn.ac.uk.



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