Filtering speaker-specific words from electronic discussions

Ingrid Zukerman, Yuval Marom

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    1 Citation (Scopus)

    Abstract

    The work presented in this paper is the first step in a project which aims to cluster and summarise electronic discussions in the context of help-desk applications. The eventual objective of this project is to use these summaries to assist help-desk users and operators. In this paper, we identify features of electronic discussions that influence the clustering process, and offer a filtering mechanism that removes undesirable influences. We tested the clustering and filtering processes on electronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-level clustering and simple information retrieval. Our evaluation shows that our filtering mechanism has a significant positive effect on both tasks.

    Original languageEnglish
    Title of host publicationProceedings of the 20th International Conference on Computational Linguistics
    EditorsS Nirenburg
    Place of PublicationEast Stroudsburg PA USA
    PublisherAssociation for Computational Linguistics (ACL)
    Pages473-479
    Number of pages7
    VolumeI
    ISBN (Print)1932432485
    Publication statusPublished - 2004
    EventInternational Conference on Computational Linguistics 2004 - Geneva, Switzerland
    Duration: 23 Aug 200427 Aug 2004
    Conference number: 20th
    https://dblp.org/db/conf/coling/coling2004.html (Proceedings)

    Conference

    ConferenceInternational Conference on Computational Linguistics 2004
    Abbreviated titleCOLING 2004
    Country/TerritorySwitzerland
    CityGeneva
    Period23/08/0427/08/04
    Internet address

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