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      Negation and Speculation Detection for Improving Information Retrieval Effectiveness

      proceedings-article

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

      Future Directions in Information Access (FDIA 2013)

      3 September 2013

      Information retrieval, Negation and speculation detection, Biomedical and review domains

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            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.

            Content

            Author and article information

            Contributors
            Conference
            September 2013
            September 2013
            : 46-48
            Affiliations
            [0001]Universidad de Huelva

            E.T.S de ingeniería. Ctra. Palos de la Frontera s/n. 21819. Palos de la Frontera (Huelva)
            Article
            10.14236/ewic/FDIA2013.10
            b1b95f3f-45f2-4c6f-a5ff-85d665d3e156
            © Noa P. Cruz Díaz. Published by BCS Learning and Development Ltd. Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013), Granada, Spain

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)
            FDIA
            5
            Granada, Spain
            3 September 2013
            Electronic Workshops in Computing (eWiC)
            Future Directions in Information Access (FDIA 2013)
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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