Categorising Modality in Biomedical Texts

Paul Thompson, G Venturi, John McNaught, S Montemagni, Sophia Ananiadou

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

    Abstract

    The accurate recognition of modal information is vital for the correct interpretation of statements. In this paper, we report on the collection a list of words and phrases that express modal information in biomedical texts, and propose a categorisation scheme according to the type of information conveyed. We have performed a small pilot study through the annotation of 202 MEDLINE abstracts according to our proposed scheme. Our initial results suggest that modality in biomedical statements can be predicted fairly reliably though the presence of particular lexical items, together with a small amount of contextual information.
    Original languageEnglish
    Title of host publicationProceedings of the LREC 2008 Workshop on Building and Evaluating Resources for Biomedical Text Mining.
    Pages27-34
    Number of pages8
    Publication statusPublished - May 2008

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