Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Textual information access : statistical models / [edited by] Eric Gaussier and Francois Yvon.

Contributor(s): Material type: TextTextPublication details: London : ISTE ; Hoboken, NJ : John Wiley, 2012.Description: xvi, 429 p. : illustrations ; 25 cmISBN:
  • 9781848213227
Subject(s): DDC classification:
  • 000SB:005.52 23 G274
Online resources:
Contents:
1. Probabilistic models for information retrieval / Stépahne Clinchant and Eric Gaussier -- 2. Learnable ranking models for automatic text summarization and information retrieval / Massih-Reza Amini [and others] -- 3. Logistic regression and text classification / Sujeevan Aseervatham [and others] -- 4. Kernel methods for textual information access / Jean-Michel Renders -- 5. Topic-based generative models for text information access / Jean-Cédric Chappelier -- 6. Conditional random fields for information extraction / Isabelle Tellier and Marc Tommasi -- 7. Statistical methods for machine translation / Alexandre Allauzen and François Yvon -- 8. Information mining: methods and interfaces for accessing complex information / Josiane Mothe, Kurt Englmeier, and Fionn Murtagh -- 9. Opinion detection as a topic classification problem / Juan-Manuel Torres-Moreno [and others] -- Appendix: A. Probabilistic models: an introduction / François Yvon -- List of Authors -- Index.
Summary: This book presents statistical models that have recently been developed within several research communities to access information contained in text collections.
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Includes bibliographical references and index.

1. Probabilistic models for information retrieval / Stépahne Clinchant and Eric Gaussier --
2. Learnable ranking models for automatic text summarization and information retrieval / Massih-Reza Amini [and others] --
3. Logistic regression and text classification / Sujeevan Aseervatham [and others] --
4. Kernel methods for textual information access / Jean-Michel Renders --
5. Topic-based generative models for text information access / Jean-Cédric Chappelier --
6. Conditional random fields for information extraction / Isabelle Tellier and Marc Tommasi --
7. Statistical methods for machine translation / Alexandre Allauzen and François Yvon --
8. Information mining: methods and interfaces for accessing complex information / Josiane Mothe, Kurt Englmeier, and Fionn Murtagh --
9. Opinion detection as a topic classification problem / Juan-Manuel Torres-Moreno [and others] --
Appendix: A. Probabilistic models: an introduction / François Yvon --
List of Authors --
Index.

This book presents statistical models that have recently been developed within several research communities to access information contained in text collections.

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