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Natural Language Information Retrieval - Herausgegeben:Strzalkowski, Tomek
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Natural Language Information Retrieval - Livro de bolso

2010, ISBN: 9789048152094

[ED: Softcover], [PU: Springer / Springer Netherlands], The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic… mais…

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Natural Language Information Retrieval T. Strzalkowski Editor
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Natural Language Information Retrieval T. Strzalkowski Editor - novo libro

ISBN: 9789048152094

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 informa… mais…

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Natural Language Information Retrieval / T. Strzalkowski / Taschenbuch / Text, Speech and Language Technology / Paperback / xxv / Englisch / 2010 / Springer Netherland / EAN 9789048152094 - Strzalkowski, T.
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Natural Language Information Retrieval / T. Strzalkowski / Taschenbuch / Text, Speech and Language Technology / Paperback / xxv / Englisch / 2010 / Springer Netherland / EAN 9789048152094 - Livro de bolso

2010

ISBN: 9789048152094

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Natural Language Information Retrieval - Strzalkowski, T. (Herausgeber)
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Natural Language Information Retrieval - Livro de bolso

2010, ISBN: 9048152097

Softcover reprint of the original 1st ed. 1999 Kartoniert / Broschiert Sprachwissenschaft, Linguistik, Computerlinguistik und Korpuslinguistik, Data Warehousing, Informationsrückgewinnu… mais…

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Natural Language Information Retrieval (Text, Speech and Language Technology, 7, Band 7)
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Natural Language Information Retrieval (Text, Speech and Language Technology, 7, Band 7) - Livro de bolso

2013, ISBN: 9789048152094

Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 1999, 412 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, 1.28 kg, Linguistik, Sozialwissenschaft,… mais…

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Natural Language Information Retrieval T. Strzalkowski Editor

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.

Dados detalhados do livro - Natural Language Information Retrieval T. Strzalkowski Editor


EAN (ISBN-13): 9789048152094
ISBN (ISBN-10): 9048152097
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer Netherlands Core >1
412 Páginas
Peso: 0,620 kg
Língua: eng/Englisch

Livro na base de dados desde 2011-05-22T07:21:56+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-04-13T12:57:04+01:00 (Lisbon)
Número ISBN/EAN: 9789048152094

Número ISBN - Ortografia alternativa:
90-481-5209-7, 978-90-481-5209-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: tomek
Título do livro: language


Dados da editora

Autor: T. Strzalkowski
Título: Text, Speech and Language Technology; Natural Language Information Retrieval
Editora: Springer; Springer Netherland
384 Páginas
Ano de publicação: 2010-12-04
Dordrecht; NL
Impresso / Feito em
Língua: Inglês
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXV, 384 p.

BC; Hardcover, Softcover / Sprachwissenschaft, Literaturwissenschaft/Allgemeine und Vergleichende Sprachwissenschaft; Sprachwissenschaft, Linguistik; Verstehen; DOM; Syntax; classification; communication; computational linguistics; corpus; corpus linguistic; information system; language; linguistics; morphology; natural language; Linguistics; Natural Language Processing (NLP); Computational Linguistics; Information Storage and Retrieval; Artificial Intelligence; User Interfaces and Human Computer Interaction; Natürliche Sprachen und maschinelle Übersetzung; Computerlinguistik und Korpuslinguistik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Künstliche Intelligenz; Mensch-Computer-Interaktion; BB; EA

1 What is the Role of Nlp in Text Retrieval?.- 2 NLP For Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax.- 3 Combining Corpus Linguistics and Human Memory Models for Automatic Term Association.- 4 Using NLP or NLP Resources for Information Retrieval Tasks.- 5 Evaluating Natural Language Processing Techniques in Information Retrieval.- 6 Stylistic Experiments in Information Retrieval.- 7 Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically.- 8 LaSIE Jumps the GATE.- 9 Phrasal Terms in Real-World IR Applications.- 10 Name Recognition and Retrieval Performance.- 11 COLLAGE: An NLP Toolset to Support Boolean Retrieval.- 12 Document Classification and Routing.- 13 Murax: Finding and Organizing Answers from Text Search.- 14 The Use of Categories and Clusters for Organizing Retrieval Results.

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