RE: [Corpora-List] semantic similarity

From: Antoinette Renouf (Antoinette.Renouf@uce.ac.uk)
Date: Thu Jan 20 2005 - 18:10:00 MET

  • Next message: ted pedersen: "Re: [Corpora-List] semantic similarity"

    Dear Jana
    We developed a system called ACRONYM to do this, in 1994-7.
    See http://rdues.uce.ac.uk/acronym.shtml for overview and demo.
    Regards
    Antoinette

    --------------------------

    Antoinette Renouf
    Professor of English Language and Linguistics
    School of English
    University of Central England in Birmingham
    Perry Barr
    Birmingham B42 2SU
     
    tel: +44 (0)121 331 7230
    fax: +44 (0)121 331 6622
    mob: +44 (0)7980 750037
    email: ajrenouf@uce.ac.uk
    url: http://rdues.uce.ac.uk
     
    http://www.webcorp.org.uk/

    -----Original Message-----
    From: owner-corpora@lists.uib.no [mailto:owner-corpora@lists.uib.no] On
    Behalf Of Jana Diesner
    Sent: 20 January 2005 16:36
    To: CORPORA@hd.uib.no
    Subject: [Corpora-List] semantic similarity

    Dear list members,

    We are looking for strategies, algorithms or code to automatically find
    single terms or multiple adjacent terms that are semantically similar
    within
    and across documents. The approach must not require POS tagging or an
    initial input of a reference term to the system. The resulting clusters
    of
    semantically similar terms suggested by the system do not need to be
    exclusive. We are familiar with secondstring, the software developed by
    William Cohen, and semantic similarity based on string-edit distances.

    Thank you very much.

    Jana

    ____________________

    Jana Diesner
    Carnegie Mellon University

    jdiesner@andrew.cmu.edu

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