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Abstract: At the earlier stage of the knowledge acquisition process, interviews of experts produce a large amount of rich but ill-structured texts. Knowledge engineers need some tool to help them in the exploitation of all these texts, especially when dealing with expertise from different experts, in different but overlapping domains. We propose the use of a statistical method, the top-down hierarchical classification and a new interpretation of its results. The initial statistical analysis proposed by... (Update)
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BibTeX entry: (Update)
Lapalut, S. (1996a). How to handle multiple expertise from several experts: a general text clus tering approach. In Maurer, F., editor, 2nd Knowledge Engineering Forum, number SFB 501 Bericht 01/96, Kaiserslautern University, Germany. http://citeseer.ist.psu.edu/lapalut96how.html More
@inproceedings{ lapalut-how,
author = "S. Lapalut",
title = "How to handle multiple expertise from several experts: a general text
clustering approach",
editor = "Maurer, F.",
booktitle = "2nd Knowledge Engineering Forum, SFB 501 Bericht",
nimber = "01/96",
address = "Kaiserslautern University, Germany",
url = "citeseer.ist.psu.edu/lapalut96how.html" }
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[Article contains additional citations not shown here]
Documents on the same site (http://www-sop.inria.fr/acacia/personnel/lapalut/publications/publications.html):
Expressing Canonical Formation Rules With Graph Grammars Operations - Lapalut (1996) (Correct)
Multiple Text Interview Clustering with the Help of a.. - Lapalut (1996) (Correct)
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