Overview

"This text seeks to show how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). Jacquemin's novel tool is FASTR, a parser that normalizes terms and recognizes term variants. Since there are more meanings in a language than there are words, FASTR uses a metagrammar composed of shallow linguistic transformations that describe the morphological, syntactic, semantic, and pragmatic variations of words and terms. The acquired parsed terms can then be applied for precise retrieval and assembly of information. The use of a corpus-based unification grammar to define, recognize, and combine term variants from their base forms allows for intelligent information access to, or ""linguistic data tuning"" of, heterogeneous texts. FASTR can be used to do automatic controlled indexing, to carry out content-based Web searches through conceptually related alternative query formulations, to abstract scientific and technical extracts, and even to translate and collect terms from multilingual material. Jacquemin provides an account of the method and implementation of this retrieval technique for text processing."

Full Product Details

Author:   Christian Jacquemin
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 17.80cm , Height: 3.20cm , Length: 22.90cm
Weight:   0.816kg
ISBN:  

9780262100854

ISBN 10:   0262100851
Pages:   357
Publication Date:   27 April 2001
Recommended Age:   From 18
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   No Longer Our Product
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Reviews

This important and timely publication presents an efficient, accurate method for automated term variant extraction from technical and scientific texts. The book provides the first comprehensive account of work in this area. --Tomek Strzalkowski, Department of Computer Science, University at Albany, SUNY People say the same things in different ways. This variation poses difficult problems for finding information in online text. This book answers many of these problems, providing a complete theoretical background and validated computational techniques. --Gregory Grefenstette, Principal Scientist, Xerox Research Centre Europe Jacquemin has pursued the problem of lexical term variation for over a decade, and this book presents a detailed, no-nonsense description of his linguistically motivated but empirical approach. In part because of its excellent review of related work, this book is essential reading for those interested in computational approaches to lexical recognition and variation. --Marti Hearst, School of Information Management and Systems (SIMS), University of California Berkeley

"""This important and timely publication presents an efficient, accurate method for automated term variant extraction from technical and scientific texts. The book provides the first comprehensive account of work in this area."" --Tomek Strzalkowski, Department of Computer Science, University at Albany, SUNY ""People say the same things in different ways. This variation poses difficult problems for finding information in online text. This book answers many of these problems, providing a complete theoretical background and validated computational techniques.""--Gregory Grefenstette, Principal Scientist, Xerox Research Centre Europe ""Jacquemin has pursued the problem of lexical term variation for over a decade, and this book presents a detailed, no-nonsense description of his linguistically motivated but empirical approach. In part because of its excellent review of related work, this book is essential reading for those interested in computational approaches to lexical recognition and variation.""--Marti Hearst, School of Information Management and Systems (SIMS), University of California Berkeley"

Author Information

Christian Jacquemin is Professor at the University of Paris 11 and Researcher in Computer Science at CNRS-LIMSI (Centre National de la Recherche Scientifique, Laboratoire d'Informatique pour la Mecanique et les Sciences de l'Ingenieur).

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions