Corpora: LREC 2002 Workshop

From: Roberta Catizone (r.catizone@dcs.shef.ac.uk)
Date: Fri Jan 11 2002 - 15:55:35 MET

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                             Call for Papers

                            LREC 2002 Workshop
    'Learning for Advanced HLT Applications: from Language Resources to
    Processes'
             2nd June 2002, Las Palmas, Canary Islands - Spain

    Motivation and Aims

    The application of Human Lamguage Technology to current IT trends
    requires large amounts of specific linguistic resources. However,
    existing large scale resources are never intended (i.e. designed
    and handcrafted) for specific application tasks.

    In order to bridge the existing gap, a variety of methods for
    acquisition, adaptation and integration of linguistic resources have
    been proposed in the NLP research area since the late 80's.
    Machine learning and statistical techniques have been largely employed
    as major devices able to deal with the scale and the complexity of the
    problem. Although a large area of research, the impact of these
    technologies on the applications is still low with respect to their
    potential. Open problems are:

    - the unclear targets of the learning activity: no general consensus
    exists among the proposed approaches to the quality and quantity of
    linguistic information needed for the different tasks (e.g. which is the
    suitable representation that captures selective information from the LR
    training material able to optimize parsing accuracy? Is it fully
    grammatical, like in bracketed corpora, or lexical);

    - the heterogeneity of sources: relevant information for the adaptation
    task can be distributed in different repositories (lexical knowledge
    bases and texts) or expressed differently (in different languages
    and/or raw, e.g. texts, vs. semistructured data, e.g. HTML/XML formats);

    - the architectural idiosyncrasies: the proposed learning system makes
    reference to different sources of information in different pipelined (or
    redundant as in voting) application architectures.

    - the application scope: current applications make a limited use (if
    any) of available adaptation technologies. This often limits the scale
    reachable by the current HLT aplications;

    The above issues are orientative towards the complexity of the problem
    in current research given the enormous potential of the application
    field in areas like Web Mining, Question Answering and Knowledge
    Management.

    This workshop aims to bring together researchers of both academic and
    industrial organizations interested in:
     
    - Theoretical and Practical aspects of adaptive Natural Language
    Processing
    - Models of Acquisition and Integration of Domain Knowledge
    - Integration of induction models from heterogeneus data (lexicons vs.
    ontologies, texts vs. HTML/XML pages)
    - Learning Multlingual Information exploiting Multilingual Resources
    (e.g. EuroWordnet)
    - Theoretical and Practical aspects of Lexical Acquisition in
    multilingual scenarios
    - Architectures for learning, adaptation, and integration of LR
    - Adaptive HLT applications (including but not limited to search,
    retrieval, navigation and QA)
     
    Papers are invited for presenting theoretical and methodological aspects
    of Machine Learning of Natural Language as well as approaches making
    effective use of adaptive methods in the perspective of pre-industrial
    or industrial applications.

    Program Committee

    Michael Brent Washington University in Saint Louis, USA
    Roberta Catizone University of Sheffield
    Walter Daelemans CNTS/Language Technology Group, Antwerp
    Ralph Grishman Department of Computer SCience, NYC
    M. V. Marabello KnowledgeStones S.p.A
    Raymond Mooney University of Texas at Austin, USA
    M. T. Pazienza University of Roma, Tor Vergata
    G. Rigau Polytechnical University of Catalunia
    Horatio Rodriguez Polytechnical University of Catalunia
    A. Setzer University of Sheffield
    N. Webb University of Sheffield
    Y. Wilks University of Sheffield
    Rémi Zajac New Mexico State University,
    F.M. Zanzotto University of Roma, Tor Vergata

    Contact person

    Roberta Catizone
    University of Sheffield
    211 Portobello Street, Regent Court, S1 4DP Sheffield (UK)
    phone: +44 114 2221897; fax +44 114 2221810
    r.catizone@dcs.shef.ac.uk

    Time schedule (Important Dates)
       Deadline for workshop abstract submission: 22th of February 2002
       Notification of acceptance: 15th of March 2002
       Final version of paper for proceedings: 15th of April 2002
       Workshop: 2st of June 2002
       
    Agenda
       Morning Session:
       - 1st Invited Talk (8:00-9:00)
       - Technical Papers (9:00-11:30)
       - 2nd Invited Talk (11:30-12:30)
       - Panel and Round Table (12:30-1:30)

    A summary of the intended workshop Call for Participation.

     In the workshop the following invited speakers are expected:
       - Roberto Basili (University of Roma, Tor Vergata)
       - Fabio Ciravegna (University of Sheffield)

    A panel session on "Adaptive Technologies and their implications on
    advanced HLT applications (IR, IE, Q&A and KM)"

    Distinguished panelists will be invited. Some of them confirmed their
    participation and among others:
      - Nino Varile (EC Commission)
      - F. Gardin (AISoftware)

    Submissions

     Papers should describe existing research connected to the topics
     of the workshop. The presentation at the workshop will be 30
     minutes long (20 minutes for presentation and 10 minutes for
     questions and discussion). Each submission should show: title;
     author(s); affiliation(s); and contact author's e-mail address,
     postal address, telephone and fax numbers. Abstracts (maximum
     2 A4 pages, plain-text format).

     The final version of the accepted papers should be no longer than
     10 A4 pages. Instructions for formatting and presentation of
     the final version will be sent to authors upon notification
     of acceptance.



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