A term-based methodology for template creation in information extraction

Kalliopi Zervanou, John McNaught

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    In this paper, we are concerned with the problem of automatic template creation for Information Extraction (IE) and we present a methodology for the creation of IE templates. Our approach proposes the semi-automatic construction of a semantic representation of textual information based on recognition of multi-word and nested terms and Named Entities (NEs) and subsequent exploitation of term and NE context for the induction of Information Extraction template rules.
    Original languageEnglish
    Title of host publicationNatural Language Processing
    Subtitle of host publicationSecond International Conference Patras, Greece, June 2–4, 2000 Proceedings
    EditorsDimitris Christodoulakis
    Place of PublicationHeidelberg
    PublisherSpringer Nature
    Pages418-423
    ISBN (Electronic) 978-3-540-45154-9
    DOIs
    Publication statusPublished - 2000

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume 1835

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