Textual Information Access: Statistical Models - download pdf or read online

This e-book offers statistical types that experience lately been built inside a number of examine groups to entry info contained in textual content collections. the issues thought of are associated with purposes aiming at facilitating details access:
- info extraction and retrieval;
- textual content class and clustering;
- opinion mining;
- comprehension aids (automatic summarization, desktop translation, visualization).
on the way to supply the reader as entire an outline as attainable, the focal point is put on the chance versions utilized in the purposes involved, via highlighting the connection among types and functions and through illustrating the habit of every version on actual collections.
Textual details entry is geared up round 4 subject matters: informational retrieval and rating versions, class and clustering (regression logistics, kernel tools, Markov fields, etc.), multilingualism and computing device translation, and rising purposes corresponding to info exploration.

Contents

Part 1: details Retrieval
1. Probabilistic types for info Retrieval, Stéphane Clinchant and Eric Gaussier.
2. Learnable rating types for computerized textual content Summarization and knowledge Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari,
 Tuong Vinh Truong and Nicolas Usunier.
half 2: class and Clustering
three. Logistic Regression and textual content category, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis,
 Michel Burlet and Yves Denneulin.
four. Kernel equipment for Textual info entry, Jean-Michel Renders.
five. Topic-Based Generative types for textual content 
Information entry, Jean-Cédric Chappelier.
6. Conditional Random Fields for info Extraction, Isabelle Tellier and Marc Tommasi.
half three: Multilingualism
7. Statistical tools for computer Translation, Alexandre Allauzen and François Yvon.
half four: rising Applications
eight. details Mining: equipment and Interfaces for gaining access to advanced details, Josiane Mothe, Kurt Englmeier and Fionn Murtagh.
nine. Opinion Detection as a subject matter category challenge, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and
 Fréderic Béchet.