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Natural Language Information Retrieval (Text, Speech and Language Technology) (Hardcover)

by T. Strzalkowski (Editor) "The rapid growth of full text databases, together with developments in natural language processing (NLP) technology, has prompted those engaged with NLP to suggest that..." (more)

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Product details

Hardcover: 412 pages
Publisher: Springer (30 April 1999)
Language English
ISBN-10: 0792356853
ISBN-13: 978-0792356851
Product Dimensions: 24.7 x 16.5 x 3 cm
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Amazon.co.uk Sales Rank: 3,343,670 in Books (See Bestsellers in Books)
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#91 in Books > Computing & Internet > Databases > Information Retrieval

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Product Description

Product Description
The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and information access has exploded. Emerging applications in computer-assisted information production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. This volume focuses on the use of Natural Language Processing (NLP) in Information Retrieval, the technology that grew out of library research to become our best hope in dealing with today's information overload. The book gives a broad overview of the work being done at the junction of these two important fields, and suggests directions for future explorations. It is organized into two loosely structured parts: The first part, consisting of Chapters 1 through 7, discusses research systems and evaluations that represent major avenues where the impact of NLP technologies in information retrieval is being explored. The second part (Chapters 8 through 14) describes specific implementations and prototypes of information systems where NLP techniques are used or proposed to assist in accurate retrieval, text categorization, question answering, and in organizing the results for the user. Audience: This book will be a valuable reference to researchers and practitioners in the fields of Natural Language Processing, Information Retrieval, and Computational Linguistics.

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First Sentence
The rapid growth of full text databases, together with developments in natural language processing (NLP) technology, has prompted those engaged with NLP to suggest that it could be usefully applied to text retrieval, primarily for indexing purposes but perhaps also for more or less related tasks such as document 'abstracting' or extracting; it could be applied at shallow text as well as at deep content levels, and for user display or for database creation. Read the first page

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