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Communication Dans Un Congrès Année : 1998

Thematic Segmentation of Texts: Two Methods for Two Kinds of Text

Résumé

To segment texts in thematic units, we present here how a basic principle relying on word distribution can be applied on different kind of texts. We start from an existing method well adapted for scientific texts, and we propose its adaptation to other kinds of texts by using semantic links between words. These relations are found in a lexical network, automatically built from a large corpus. We will compare their results and give criteria to choose the more suitable method according to text characteristics.
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hal-02458398 , version 1 (28-01-2020)

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  • HAL Id : hal-02458398 , version 1

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Olivier Ferret, Brigitte Grau, Nicolas Masson. Thematic Segmentation of Texts: Two Methods for Two Kinds of Text. 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, COLING-ACL, 1998, Montreal, Quebec, Canada. pp.392--396. ⟨hal-02458398⟩
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