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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.
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Contributor : Eric Gaussier <>
Submitted on : Friday, October 12, 2012 - 11:30:31 AM
Last modification on : Monday, April 20, 2020 - 11:24:01 AM


  • HAL Id : hal-00741271, version 1


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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