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    Computer Science Department, University Montpellier 2, Montpellier France

    Text Segmentation Based on Document Understanding for Information Retrieval.

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    Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user. In this paper, we describe a method that extensively uses natural language techniques for text segmentation based on topic change detection. The method requires a NLP-parser and a semantic representation in Roget-based vectors. We have run the experiment on French documents, for which we have the appropriate tools, but the method could be transposed to any other language with the same requirements. The article sketches an overview of the NL understanding environment functionalities, and the algorithms related to our text segmentation method. An experiment in text segmentation is also presented and its result in an information retrieval task is shown.

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    Description

    Title : Text Segmentation Based on Document Understanding for Information Retrieval.
    Author(s) : Prince Violaine, Labadié Alexandre
    Abstract : Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user. In this paper, we describe a method that extensively uses natural language techniques for text segmentation based on topic change detection. The method requires a NLP-parser and a semantic representation in Roget-based vectors. We have run the experiment on French documents, for which we have the appropriate tools, but the method could be transposed to any other language with the same requirements. The article sketches an overview of the NL understanding environment functionalities, and the algorithms related to our text segmentation method. An experiment in text segmentation is also presented and its result in an information retrieval task is shown.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2007

    Affiliations Computer Science Department, University Montpellier 2, Montpellier France
    Pages : 295-304
    Url : http://hal.archives-ouvertes.fr/docs/00/16/19/96/PDF/nldb07.pdf

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