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Bootstrapping a Semantic Lexicon on Verb Similarities

  • S. Syed
  • , M. Spruit
  • , M. Borit

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    We present a bootstrapping algorithm to create a semantic lexicon from a list of seed words and a corpus that was mined from the web. We exploit extraction patterns to bootstrap the lexicon and use collocation statistics to dynamically score new lexicon entries. Extraction patterns are subsequently scored by calculating
    the conditional probability in relation to a non-related text corpus. We find that verbs that are highly domain related achieved the highest accuracy and collocation statistics affect the accuracy positively and negatively during the bootstrapping runs.
    Original languageEnglish
    Title of host publicationProceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
    EditorsA. Fred, Jan Dietz, David Aveiro, Kecheng Liu, Jorge Bernardino, Joaquim Filipe
    Place of PublicationPorto
    PublisherSciTePress
    Pages189–196
    Volume1
    ISBN (Print)978-989-758-203-5
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Semantic Lexicon
    • Bootstrapping
    • Extraction Patterns
    • Web Mining

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