[Corpora-List] CFP: CL Special Issue on Question Answering in Restricted Domains

From: Diego Molla (diego@ics.mq.edu.au)
Date: Mon Jan 31 2005 - 09:21:34 MET

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                             CALL FOR PAPERS

                              SPECIAL ISSUE
                                   of
                         COMPUTATIONAL LINGUISTICS
                                   on
                  QUESTION ANSWERING IN RESTRICTED DOMAINS

    GUEST EDITORS

    * Diego Mollá
       Macquarie University
       diego@ics.mq.edu.au

    * José Luis Vicedo
       Alicante University
       vicedo@dlsi.ua.es

    TOPIC AREA

    In early descriptions of AI problems, question answering (QA) was
    typically used to illustrate Natural Language Understanding (NLU)
    tasks. It could be argued that QA is an ideal task to advance
    knowledge in inference, NLU, and Computational Linguistics (CL) in
    general.

    There has been a recent surge of interest in research in QA, but much
    of that research focuses on the mining of answers from open-domain
    text collections. A consequence of this focused research is the
    development of redundancy-based techniques that take advantage of the
    enormous amount of information found in large corpora. Some concerns
    have been raised as to whether the use of large corpora and generic
    open-domain document sets is appropriate as a way to advance research
    in natural language processing (NLP).

    The use of restricted domains, on the other hand, presents interesting
    challenges and opportunities that may take research to a new stage.

    A clear challenge to the use of restricted domains (e.g. law,
    medicine, technical manuals) is the diversity of these
    domains. Different domains may present different stylistic
    conventions. Also, restricted domains may use terminology that is not
    stored in conventional lexical resources. As a consequence, approaches
    devised for open-domain systems may encounter difficulties when
    applied to these specific domains, thus raising the question of how
    portable and re-usable these systems can be, and, on the other hand,
    which kinds of additional or new NLP techniques are needed.

    The most salient opportunities derive from the nature of the
    restricted domains and the sorts of questions that are asked in these
    domains. Restricted domains enable the development and use of
    knowledge and lexical resources that would be impossible to produce
    for open domains. Moreover, the kind of questions users desire to pose
    to the QA system are dependent on the domain, and typically they
    require a more complex processing than the "factual" questions
    generally used in the common evaluations of open-domain QA. Restricted
    domains are therefore ideal for the development of logic-based
    approaches and the integration of reasoning methods that would handle
    questions requiring complex inferences.

    TOPICS OF INTEREST

    -Comparisons between open-domain and restricted-domain QA.
    -Characterisations of types of domains and technology required for QA
    on those domains.
    -Portability of QA systems between different domains.
    -Generation of answers from multiple documents.
    -Use of ontologies.
    -Inference and reasoning.
    -Question and information source analysis and representation.
    -Knowledge representation.
    -Answer validation.
    -Question type classification and analysis.
    -Evaluation.

    Papers should not simply describe an existing system. Of primary
    interest is the theoretical basis of the work presented. We will
    especially welcome papers that show the impact of the above topics on
    aspects of QA in restricted domains that may give an insight towards
    advanced research in CL and NLP.

    SCHEDULE

          31 Jan 2005 - Call for papers issued
           4 Jul 2005 - Papers due
          17 Oct 2005 - Notification to authors

    SUBMISSION PROCESS

    Only electronic submission will be accepted. All submissions should be
    sent to the CL journal <compling@ics.mq.edu.au> in accordance with the
    instructions provided at http://www.aclweb.org/cl/; in the subject
    line of your email, please ensure that you indicate that the paper is
    intended for the QA Special Issue.

    In addition to following the procedure described on the web site,
    authors should also send the abstract of their paper electronically to
    the two guest editors: <diego@ics.mq.edu.au>, <vicedo@dlsi.ua.es>.

    Questions about the submission process should be addressed to
    diego@ics.mq.edu.au.

    Each submitted paper will be reviewed by two reviewers appointed by
    the editor of CL and by two reviewers selected by the guest editors.



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