[Corpora-List] CFP: EMNLP 2004 2nd Call for Papers

From: Dekai Wu (dekai@cs.ust.hk)
Date: Thu Apr 08 2004 - 00:44:06 MET DST

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    2004 Conference on Empirical Methods in Natural Language Processing
         (EMNLP 2004)
         Call for Papers

    SIGDAT, the Association for Computational Linguistics' special
    interest group on linguistic data and corpus-based approaches to NLP,
    invites submissions to EMNLP 2004. The conference will be held on July
    25-26 in Barcelona, Spain, immediately following the 42nd meeting of
    the ACL (ACL 2004).

    We are interested in papers from academia, government, and industry on
    all areas of traditional interest to the SIGDAT community and aligned
    fields, including but not limited to:

     o machine translation
     o multilingual technologies
     o question answering
     o language and dialogue modeling
     o lexical acquisition
     o statistical parsing
     o information extraction
     o information retrieval
     o summarization
     o generation
     o tagging
     o term and named entity extraction
     o word sense disambiguation
     o word, term, and text segmentation

    In addition to providing a general forum, the theme for this year is

    "ERROR ANALYSIS IN EMPIRICAL NLP"

    We encourage papers that apply existing or new methodology for
    meaningful empirical analysis of errors, independent of the
    application. The theme emphasizes that learning algorithms are not
    merely magic "black boxes". Corpus-based NLP has reached a stage of
    maturity where many competing models have reached comparable plateaus
    in performance. Merely reporting the aggregate accuracy or coverage
    percentages typically fails to uncover the model limitations that are
    fundamentally responsible for the plateaus. While reporting aggregate
    percentages remains essential, instructive research should also
    explain a model's limitations in more meaningful ways. This can be as
    simple as categorizing error statistics by finer-grained types of
    errors, to reveal specific areas of model limitations. Better yet, we
    seek deeper insight into the models' inherent representational biases,
    in the form of qualitative theoretical analyses that can be backed up
    by comparative quantitative measurements. We especially welcome
    empirically verifiable implications arising for feature engineering or
    model selection, whether manual or automatic.

    SUBMISSIONS

    Requirements: Submissions must describe original, completed,
    unpublished work, and include concrete evaluation results when
    appropriate. Papers being submitted to other meetings must provide
    this information (see submission format). In the event of multiple
    acceptances, authors are requested to immediately notify the EMNLP
    program chair (lindek@cs.ualberta.ca) and to choose which meeting to
    present and publish the work at as soon as possible. EMNLP cannot
    accept for publication or presentation work that will be (or has been)
    published elsewhere.

    Format: Submissions should take the form of full papers (up to 8 pages
    in two-column format). Authors are strongly encouraged to use the
    style files originally provided for ACL 2004.

    We strongly prefer submissions to be as PS files. Any author who
    submits in PDF must assume the responsibility for ensuring that fonts
    are treated properly so that the paper will print (not just view)
    anywhere. (This may involve reading the manual.) DOC/RTF formats
    cannot be accepted.

    Reviewing will be blind. No information identifying the authors should
    be in the paper: this includes not only the authors' names and
    affiliations, but also self-references that reveal authors'
    identities; for example, "We have previously shown (Smith 1999)"
    should be changed to "Smith (1999) has previously shown". A separate
    identification email is required: see below.

    Procedure: Submissions will be entered via a website:
      http://www.cs.ualberta.ca/~lindek/emnlp04/submit
    A PostScript file of the paper must be uploaded onto the system by the
    date of the deadline (12 midnight GMT). In addition, information
    about each paper must be entered on the website. This information
    includes:

         * Paper title
         * Contact author name, affiliation, and email address
         * A short list of keywords (selected from a predefined list)
         * Abstract (no more than 300 words)
         * The conferences that the paper has also been submitted to (if any).

    IMPORTANT DATES

    Submission deadline: April 28, 2004
    Acceptance notification: May 26, 2004
    Camera-ready copy due: June 15, 2004
    Conference: July 25-26, 2004

    CONFERENCE URL

    http://www.cs.ualberta.ca/~lindek/emnlp04

    PROGRAM CO-CHAIRS

    Dekang Lin, University of Alberta (lindek@cs.ualberta.ca)
    Dekai Wu, HKUST (dekai@cs.ust.hk)

    PROGRAM COMMITTEE

    Steven Abney
    Srinivas Bangalore
    Regina Barzilay
    Jeff Bilmes
    Chris Brew
    Ted Briscoe
    Sharon Caraballo
    Marine Carpuat
    John Carroll
    Colin Cherry
    Kenneth Church
    Stephen Clark
    Michael Collins
    Ido Dagan
    Bonnie Dorr
    Jason Eisner
    Radu Florian
    Pascale Fung
    Jianfeng Gao
    Laurie Gerber
    Jan Hajic
    Mary Harper
    Vasileios Hatzivassiloglou
    Marti Hearst
    Graeme Hirst
    Rebecca Hwa
    Mark Johnson
    Frank Keller
    Genichiro Kikui
    Dan Klein
    Kevin Knight
    Greg Kondrak
    Mirella Lapata
    Gina Levow
    Hang Li
    Marc Light
    Xiaoqiang Luo
    Elliott Macklovitch
    Rob Malouf
    Daniel Marcu
    Yuji Matsumoto
    James Mayfield
    Dan Melamed
    Masaaki Nagata
    Hermann Ney
    Grace Ngai
    Miles Osborne
    Patrick Pantel
    Kishore Papineni
    Ted Pedersen
    Dragomir Radev
    Owen Rambow
    Roni Rosenfeld
    Anoop Sarkar
    Charles Schafer
    Richard Sproat
    Keh-Yih Su
    Zhifang Sui
    Christoph Tillmann
    Erik Tjong Kim Sang
    Takehito Utsuro
    Antal van den Bosch
    Ismael García Varea
    Stephan Vogel
    Jun Zhao



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