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Eric Gaussier (Ed.) - Textual Information Access: Statistical Models - 9781848213227 - V9781848213227
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Textual Information Access: Statistical Models

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Description for Textual Information Access: Statistical Models Hardback. This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. Editor(s): Gaussier, Eric; Yvon, Francois. Num Pages: 448 pages, Illustrations. BIC Classification: UB; UFD. Category: (G) General (US: Trade). Dimension: 239 x 163 x 30. Weight in Grams: 796.

This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access:
- information extraction and retrieval;
- text classification and clustering;
- opinion mining;
- comprehension aids (automatic summarization, machine translation, visualization).
In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model ... Read more

Contents

Part 1: Information Retrieval
1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier.
2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari,
 Tuong Vinh Truong and Nicolas Usunier.
Part 2: Classification and Clustering
3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis,
 Michel Burlet and Yves Denneulin.
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.
Part 3: Multilingualism
7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon.
Part 4: Emerging Applications
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, Marc El-Bèze, Patrice Bellot and
 Fréderic Béchet.

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Product Details

Format
Hardback
Publication date
2012
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
448
Condition
New
Number of Pages
448
Place of Publication
London, United Kingdom
ISBN
9781848213227
SKU
V9781848213227
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Eric Gaussier (Ed.)
Eric Gaussier is deputy director of the Grenoble Informatics Laboratory, one of the largest Computer Science laboratories in France. François Yvon is professor of Computer Science at the University of Paris Sud in Orsay and member of the Spoken Language Processing group of LIMSI/CNRS, Paris, France.

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