Bootstrapping a verb lexicon for biomedical information extraction

Giulia Venturi, Simonetta Montemagni, Simone Marchi, Yutaka Sasaki, Paul Thompson, John McNaught, Sophia Ananiadou

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


    The extraction of information from texts requires resources that contain both syntactic and semantic properties of lexical units. As the use of language in specialized domains, such as biology, can be very different to the general domain, there is a need for domain-specific resources to ensure that the information extracted is as accurate as possible. We are building a large-scale lexical resource for the biology domain, providing information about predicateargument structure that has been bootstrapped from a biomedical corpus on the subject of E. Coli. The lexicon is currently focussed on verbs, and includes both automatically-extracted syntactic subcategorization frames, as well as semantic event frames that are based on annotation by domain experts. In addition, the lexicon contains manually-added explicit links between semantic and syntactic slots in corresponding frames. To our knowledge, this lexicon currently represents a unique resource within in the biomedical domain. © Springer-Verlag Berlin Heidelberg 2009.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    Place of PublicationHeidelberg
    PublisherSpringer Nature
    Number of pages11
    Publication statusPublished - 2009
    Event10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009 - Mexico City
    Duration: 1 Jul 2009 → …


    Other10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009
    CityMexico City
    Period1/07/09 → …


    • Biological language processing
    • Domain-specific lexical resources
    • Information extraction
    • Lexical acquisition
    • Syntaxsemantics linking


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