Towards Event Extraction from Full Texts on Infectious Diseases

S. Ananiadou, S. Pyysalo, T. Ohta, H.-C. Cho, D. Sullivan, C. Mao, B. Sobral, J. Tsujii

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

    Abstract

    Event extraction approaches based on expressive structured representations of extracted information have been a significant focus of research in recent biomedical natural language processing studies. However, event extraction efforts have so far been limited to publication abstracts, with most studies further considering only the specific transcription factor-related subdomain of molecular biology of the GENIA corpus. To establish the broader relevance of the event extraction approach and proposed methods, it is necessary to expandon these constraints. In this study, we propose an adaptation of the event extraction approach to a subdomain related to infectious diseases and present analysis and initial experiments on the feasibility of event extraction from domain full text publications.
    Original languageEnglish
    Title of host publicationhost publication
    Pages132-140
    Number of pages9
    Publication statusPublished - 2010
    EventBioNLP 2010 -
    Duration: 1 Jan 1824 → …

    Conference

    ConferenceBioNLP 2010
    Period1/01/24 → …

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