Home The Saint Bookstore Text-based intelligent Systems: Current Research and Practice in information Extraction and Retrieval by Paul S. Jacobs (ISBN: 9780805811889)

Text-based intelligent Systems: Current Research and Practice in information Extraction and Retrieval

Text-based intelligent Systems: Current Research and Practice in information Extraction and Retrieval Hardback - 1992

Name: Text-based intelligent Systems: Current Research and Practice in information Extraction and Retrieval
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Author: Paul S. Jacobs
ISBN: 9780805811889

by Paul S. Jacobs

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Hardback. New. The symposium on which this volume was based brought together approximately fifty scientists from a variety of backgrounds to discuss the rapidly-emerging set of competing technologies for exploiting a massive quantity of textual information. This group was challenged to explore new ways to take advantage of the power of on-line text. A billion words of text can be more generally useful than a few hundred logical rules, if advanced computation can extract useful information from streams of text and help find what is needed in the sea of available material. While the extraction task is a hot topic for the field of natural language processing and the retrieval task is a solid aspect in the field of information retrieval, these two disciplines came together at the symposium and have been cross-breeding more than ever. The book is organized in three parts. The first group of papers describes the current set of natural language processing techniques used for interpreting and extracting information from quantities of text. The second group gives some of the historical perspective, methodology, and current practice of information retrieval work; the third covers both current and emerging applications of these techniques. This collection of readings should give students and scientists alike a good idea of the current techniques as well as a general concept of how to go about developing and testing systems to handle volumes of text.

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Title Text-based intelligent Systems: Current Research and Practice in information Extraction and Retrieval
Author Paul S. Jacobs
Binding Hardback
Edition First Edition
Condition New
Pages 290
Volumes 1
Language ENG
Publisher Psychology Press, USA
Publication date 1992-07-01
Features Bibliography, Index
Bookseller's Inventory # A9780805811889
ISBN 9780805811889 / 0805811885
Weight 1.3 lbs (0.59 kg)
Dimensions 9.4 x 6.24 x 0.84 in (23.88 x 15.85 x 2.13 cm)
Reading level 1460
Category Computers - General Information
Library of Congress subjects Artificial intelligence, Text processing (Computer science)
Library of Congress Catalogue Number 92017802
Dewey Decimal Code 006.35
Quantity available 1

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From the publisher

The symposium on which this volume was based brought together approximately fifty scientists from a variety of backgrounds to discuss the rapidly-emerging set of competing technologies for exploiting a massive quantity of textual information. This group was challenged to explore new ways to take advantage of the power of on-line text. A billion words of text can be more generally useful than a few hundred logical rules, if advanced computation can extract useful information from streams of text and help find what is needed in the sea of available material. While the extraction task is a hot topic for the field of natural language processing and the retrieval task is a solid aspect in the field of information retrieval, these two disciplines came together at the symposium and have been cross-breeding more than ever.

The book is organized in three parts. The first group of papers describes the current set of natural language processing techniques used for interpreting and extracting information from quantities of text. The second group gives some of the historical perspective, methodology, and current practice of information retrieval work; the third covers both current and emerging applications of these techniques. This collection of readings should give students and scientists alike a good idea of the current techniques as well as a general concept of how to go about developing and testing systems to handle volumes of text.

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