An edition of Spotting and discovering terms through natural language processing (2001)

Spotting and discovering terms through natural language processing

by Christian Jacquemin

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An edition of Spotting and discovering terms through natural language processing (2001)

Spotting and discovering terms through natural language processing

by Christian Jacquemin

★★★★★ 5.0 (1 rating)
2 Want to read
1 Have read

"In this book Christian Jacquemin shows 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."--BOOK JACKET.

Publish Date

2001

Publisher

MIT Press

Language

English

Pages

378

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Previews available in: English

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1 Spotting and discovering terms through natural language processing 2001, MIT Press in English 0262100851 9780262100854	aaaa Borrow Listen Locate

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Book Details

Machine generated contents note: 1 Introduction

1.1 Motivation

1.2 Term Spotting through Term Normalization

1.3 Is In-depth Understanding a Viable Alternative?

1.4 Term Variation: A Central Issue

1.5 Overview of the Study

2 Studies in Term Extraction

2.1 Basic Concepts and Techniques

2.2 Term Acquisition

2.3 Parsers for Phrase Indexing

2.4 FASTR, Exploiting Term Variation in Term Spotting

3 Terms

3.1 FASTR Formalism

3.2 Morphology

3.3 Extended Domain of Locality and Lexicalization

3.4 Derivation within FASTR

3.5 Parsing with FASTR

3.6 Summary

4 Variations

4.1 Linguistic Analysis of Term Variations

4.2 Description of Variations through Metarules

4.3 A Constructive View of Metarules

4.4 Summary

5 Experimental Tuning

5.1 Elementary Variations of Binary Terms

5.2 Elementary Variations of n-ary Terms

5.3 Compositions of Elementary Variations

5.4 Refining Metarules

5.5 Evaluating Syntactic Metarules

5.6 Summary

6 Term Enrichment

6.1 Automatic Thesaurus Acquisition

6.2 Statistical Acquisition from Variations

6.3 Term Enrichment from Variations

6.4 Summary

7 Morphosyntactic Variants

7.1 Morphological Links and Regular Expressions in FASTR

7.2 Evaluation of Morphosyntactic Variant Extraction

7.3 Evaluating Morphosyntactic Metarules

7.4 Summary

8 Semantic Variation and Applications

8.1 Semantic Variation

8.2 Applications

8.3 Other Interesting Directions

9 Conclusion

A Metarule Files

A.1 Paradigmatic Syntactic Metarules

A.2 Filtering Syntactic Metarules

A.3 Paradigmatic Morphosyntactic Metarules

A.4 Filtering Morphosyntactic Metarules

A.5 Filtering Semantic and Morphosemantic Metarules

A.6 Pattern Extractors

B Structured Acquisitions

C Corpus and Term Lists

D Grammar Files

Glossary

Notes

References

Author Index

Subject Index.

Edition Notes

Includes bibliographical references (p. [353]-368) and index.

Published in: Cambridge, Mass

Classifications

Dewey Decimal Class: 418
Library of Congress: P305.18.D38 J33 2001, P305.18.D38J33 2001

Table of contents

The Physical Object

Pagination: viii, 378 p. :
Number of pages: 378

Edition Identifiers

Open Library: OL6801985M
Internet Archive: spottingdiscover0000jacq
ISBN 10: 0262100851
LCCN: 00135245
OCLC/WorldCat: 44877022
Digital Object Identifier (DOI): 10.1604/9780262100854
Goodreads: 4063158

Work Identifiers

Work ID: OL7800447W

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Library of Congress MARC record
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Created April 1, 2008
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August 17, 2024	Edited by ImportBot	import existing book
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Spotting and discovering terms through natural language processing

by Christian Jacquemin