Textual Information Access: Statistical Models

Abstract : Statistical models recently developed in several research communities (natural language processing, information retrieval, machine learning) for textual information access pertain to several application domains: Information extraction and retrieval, Text classification and clustering, Opinion mining, Comprehension aids (automatic summarization, automatic translation, visualization). We focus here on the probabilistic models used in these applications, making explicit the link between models and applications, and illustrating it through a presentation of experimental results.
Type de document :
Direction d'ouvrage, Proceedings
John Wiley & Sons, pp.448, 2012, 978-1-84821-322-7
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https://hal.archives-ouvertes.fr/hal-00741271
Contributeur : Eric Gaussier <>
Soumis le : vendredi 12 octobre 2012 - 11:30:31
Dernière modification le : mercredi 4 janvier 2017 - 16:19:44

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  • HAL Id : hal-00741271, version 1

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Citation

Éric Gaussier, François Yvon. Textual Information Access: Statistical Models. John Wiley & Sons, pp.448, 2012, 978-1-84821-322-7. <hal-00741271>

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