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Natural Language Information Retrieval - Herausgegeben:Strzalkowski, Tomek
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Natural Language Information Retrieval - edizione con copertina flessibile

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… Altro …

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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… Altro …

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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 - edizione con copertina flessibile

2010

ISBN: 9789048152094

[ED: Taschenbuch], [PU: Springer Netherland], The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic disciplin… Altro …

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Natural Language Information Retrieval - edizione con copertina flessibile

2010, ISBN: 9048152097

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

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Natural Language Information Retrieval (Text, Speech and Language Technology, 7, Band 7) - edizione con copertina flessibile

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,… Altro …

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Dettagli del libro
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.

Informazioni dettagliate del libro - Natural Language Information Retrieval T. Strzalkowski Editor


EAN (ISBN-13): 9789048152094
ISBN (ISBN-10): 9048152097
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer Netherlands Core >1
412 Pagine
Peso: 0,620 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2011-05-22T08:21:56+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-04-13T13:57:04+02:00 (Zurich)
ISBN/EAN: 9789048152094

ISBN - Stili di scrittura alternativi:
90-481-5209-7, 978-90-481-5209-4
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : tomek
Titolo del libro: language


Dati dell'editore

Autore: T. Strzalkowski
Titolo: Text, Speech and Language Technology; Natural Language Information Retrieval
Editore: Springer; Springer Netherland
384 Pagine
Anno di pubblicazione: 2010-12-04
Dordrecht; NL
Stampato / Fatto in
Lingua: Inglese
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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