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2010, ISBN: 9789048152094

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

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Natural Language Information Retrieval - Livres de poche

2010, ISBN: 9048152097

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2013, ISBN: 9789048152094

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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.

Informations détaillées sur le livre - Natural Language Information Retrieval T. Strzalkowski Editor


EAN (ISBN-13): 9789048152094
ISBN (ISBN-10): 9048152097
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer Netherlands Core >1
412 Pages
Poids: 0,620 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-05-22T08:21:56+02:00 (Zurich)
Page de détail modifiée en dernier sur 2024-04-13T13:57:04+02:00 (Zurich)
ISBN/EAN: 9789048152094

ISBN - Autres types d'écriture:
90-481-5209-7, 978-90-481-5209-4
Autres types d'écriture et termes associés:
Auteur du livre: tomek
Titre du livre: language


Données de l'éditeur

Auteur: T. Strzalkowski
Titre: Text, Speech and Language Technology; Natural Language Information Retrieval
Editeur: Springer; Springer Netherland
384 Pages
Date de parution: 2010-12-04
Dordrecht; NL
Imprimé / Fabriqué en
Langue: Anglais
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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