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    Negation and Speculation Detection for Improving Information Retrieval Effectiveness

    Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)

    3 September 2013, Granada, Spain

    AUTHORS

    Noa P. Cruz Díaz

    ABSTRACT

    The thesis proposed here intends to assist information retrieval and text mining tasks through the negation and speculation detection focusing on two different areas. In the biomedical domain, the existence of an annotated corpus with this kind of information has made possible the development of an effective system to automatically detect these language forms. In the review domain, we have annotated for negation, speculation and their scope a set of reviews.

    PAPER FORMATS

    PDF file PDF Version of this Paper (342kb)