[Corpora-List] ACL2003 CFP: Workshop on Multilingual Summarization and Question Answering--Machine Learning and Beyond

From: Priscilla Rasmussen (rasmusse@cs.rutgers.edu)
Date: Fri Jan 10 2003 - 20:01:40 MET

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    CALL FOR WORKSHOP PAPERS

    ACL 2003 Post-conference Workshop
    Sapporo Convention Center, Sapporo, Japan
    July 11-12, 2003

    Workshop on "Multilingual Summarization and Question Answering -
    Machine Learning and Beyond"

    Automatic summarization and question answering aim at producing a
    concise, condensed representation of the key information content in an
    information source for a particular user and task. Interest in automati=
    c
    summarization and question answering continues to grow, motivated by th=
    e
    explosion of on-line information sources and advances in natural
    language processing and information retrieval. In fact, various forms o=
    f
    automatic summarization and question answering will undoubtedly be
    indispensable given the massive information universes that lie ahead in=

    the 21st century.

    Summarization and question answering involves the extraction or
    generation of text snippets to fulfill some user needs. Rule-based or
    statistical-based summarization and QA systems have shown promising
    results in the TREC QA-tracks, NTCIR QAC, and NIST DUC; it is, however,=

    very difficult to find good evaluation functions or rules that work wel=
    l
    across domains or in all questions because there are many system
    parameters that must be carefully tuned in order to achieve good system=

    performance. In consequence, various machine learning (ML) techniques
    have recently been applied to summarization and QA systems.

    The purpose of this workshop is to provide a forum for exploring the
    commonality underling this diversity of problem domain and approaches.

        The workshop has the following goals:

         - to bring together communities of researchers who apply machine
           learning techniques to summarization and QA systems,
         - to deepen the summarization and QA community's understanding of
           the state of the art in machine learning,
         - to identify summarization and QA-related problems for
           which ML techniques might be appropriate, and
         - to advance the state of the art of summarization and QA
          technologies.

        Topics appropriate to this workshop include:

         - summarization or QA systems with ML techniques,
         - novel or improved ML techniques for summarization or QA,
         - effective feature extraction methods for characterizing
           summarization or QA,
         - metrics and benchmarks for evaluating the effect of machine
           learning techniques in summarization or QA systems,
         - generation for summarization or QA,
         - cross-language or multilingual QA,
         - integration with Web and IR access,
         - corpora creation for summarization or QA,
         - interfaces and tools for summarization or QA.

    FORMAT FOR SUBMISSIONS
    Submissions are limited to original, unpublished work. Submissions must=

    use the ACL latex style or Microsoft Word style MSQA-submission.doc
    (both available from the here workshop web page). Paper submissions
    should consist of a full paper (5000 words or less, exclusive of title
    page and references). Papers outside the specified length are subject t=
    o
    be rejected without review. The paper should be written in English.

    SUBMISSION QUESTIONS
    Please send submission questions to Abraham Ittycheriah (abei@us.ibm.co=
    m).

    SUBMISSION PROCEDURE
    Electronic submission only: send the pdf (preferred), postscript, or MS=

    Word form of your submission to: abei@us.ibm.com (Abraham Ittycheriah) =
    The
    Subject
    line should be "ACL2003 WORKSHOP PAPER SUBMISSION". Because reviewing i=
    s
    blind, no
    author information is included as part of the paper. An identification
    page must be sent in a separate email with the subject line: "ACL2003
    WORKSHOP ID PAGE" and must include title, all authors, theme area,
    keywords, word count, and an abstract of no more than 5 lines. Late
    submissions will not be accepted. Notification of receipt will be
    e-mailed to the first author shortly after receipt.

    DEADLINES (Tentative)
                                                                
     Paper submission deadline: =A0Apr 21, 2003
                                                                
     Notification of acceptance for papers: =A0May 19, 2003
                                                                
     Camera ready papers due: =A0May 26, 2003
                                                                
     Workshop date: =A0July 11-12, 2003
                                                                

    PROGRAM CHAIRS
    Abraham Ittycheriah IBM T.J. Watson Research Center, USA
    Tsuneaki Kato University of Tokyo, Japan
    Chin-Yew Lin USC/ISI, USA
    Yutaka Sasaki NTT Communication Science Laboratories, Japan

    PROGRAM COMMITTEE
    Regina Barzilay Columbia University, USA
    Jason Chang National Tsin-Hua University, Taiwan
    Hsin-Hsi Chen National Taiwan University, Taiwan
    Jennifer Chu-Carroll IBM T.J. Watson Research Center, USA
    Udo Hahn University of Freiburg, Germany
    Sanda Harabagiu Univ. of Texas, Dallas, USA
    Donna Harman NIST, USA
    Ulf Hermjakob USC/ISI, USA
    Jerry Hobbs USC/ISI, USA
    Inderjeet Mani MITRE Corp. USA
    Junichi Fukumoto Ritsumeikan University, Japan
    Gary Geunbae Lee Postech, South Korea
    Hideki Isozaki NTT Communication Science Laboratories, Japan
    Sadao Kurohashi University of Tokyo, Japan
    Hang Li Microsoft Research Asia, China
    Dekang Lin University of Alberta, Canada
    Bernardo Magnini Istituto Trentino di Cultura (ITC)/IRST, Italy
    Shigeru Masuyama Toyohashi University of Technology, Japan
    Dan Moldovan Univ. of Texas, Dallas, USA
    Tatsunori Mori Yokohama National University, Japan
    Hwee Tou Ng National University of Singapore, Singapore
    Manabu Okumura Tokyo Institute of Technology, Japan
    John Prager IBM Research, USA
    Drago Radev University of Michigan, USA
    Dan Roth University of Illinois at Urbana/Champaign, USA
    Satoshi Sekine New York University, USA
    Karen Sparck-Jones Cambridge University, UK
    Tomek Strzalkowski State University of New York, Albany, USA
    Ingrid Zukerman Monash University, Australia



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