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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Text Retrieval and Filtering: Analytical Models of Performance focuses on the performance of systems that retrieve natural language text, considering full sentences as well as phrases and individual words. The last chapter explicitly addresses how grammatical constructs and methods may be studied in the context of retrieval or filtering system performance. The book builds toward solving this problem, although the material in earlier chapters is as useful to those addressing non-linguistic, statistical concerns as it is to linguists. Those interested in grammatical information should be cautioned to carefully examine earlier chapters, especially Chapters 7 and 8, which discuss purely statistical relationships between terms, before moving on to Chapter 10, which explicitly addresses linguistic issues.
Text Retrieval and Filtering: Analytical Models of Performance is suitable as a secondary text for a graduate level course on Information Retrieval or Linguistics, and as a reference for researchers and practitioners in industry.
Authors and Affiliations
Bibliographic Information
Book Title: Text Retrieval and Filtering
Book Subtitle: Analytic Models of Performance
Authors: Robert M. Losee
Series Title: The Information Retrieval Series
DOI: https://doi.org/10.1007/978-1-4615-5705-0
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1998
Hardcover ISBN: 978-0-7923-8177-8Published: 30 June 1998
Softcover ISBN: 978-1-4613-7612-5Published: 12 October 2012
eBook ISBN: 978-1-4615-5705-0Published: 06 December 2012
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 1
Number of Pages: XIII, 242
Topics: Information Storage and Retrieval, Data Structures and Information Theory, Artificial Intelligence, Mathematical Logic and Foundations