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Multiple Text Interview Clustering with the Help of a Hierarchical Classification Algorithm (1996)  (Make Corrections)  
Stéphane Lapalut



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Abstract: Besides the factual knowledge written in books, lot of knowledge can be obtained by questioning experts. This produces a large amount of rich but ill-structured texts. To deals with them, we propose the use of a statistical method, the top-down hierarchical classification and a new interpretation of its results. The analysis gives two kinds of results: first a segmentation of texts that reflects their "semantic contexts", which we use to raise structures of texts, and second, classes of... (Update)

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BibTeX entry:   (Update)

@misc{ lapalut-multiple,
  author = "St\'ephane Lapalut",
  title = "Multiple text interview clustering with the help of a hierarchical classification
    algorithm.",
  url = "citeseer.ist.psu.edu/lapalut96multiple.html" }
Citations (may not include all citations):
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Documents on the same site (http://www-sop.inria.fr/acacia/personnel/lapalut/publications/publications.html):
How to Handle Multiple Expertise From Several Experts: A General.. - Lapalut (1996)   (Correct)
Expressing Canonical Formation Rules With Graph Grammars Operations - Lapalut (1996)   (Correct)

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