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Article Dans Une Revue Natural Language Engineering Année : 2002

A bootstrapping approach for robust topic analysis

Résumé

Topic analysis is important for a lot of applications dealing with texts, such as text summarization or information extraction. But it can be done with a great precision only if it relies on structured knowledge, which is difficult to produce on a large scale. In this article, we propose using bootstrapping in order to solve this problem: a first topic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and a more reliable topic analysis.

Dates et versions

hal-02456864 , version 1 (27-01-2020)

Identifiants

Citer

Olivier Ferret, Brigitte Grau. A bootstrapping approach for robust topic analysis. Natural Language Engineering, 2002, 8 (2-3), pp.209--233. ⟨10.1017/S1351324902002929⟩. ⟨hal-02456864⟩
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