Sinossi
Natural Language Processing (NLP), hitherto a largely academic discipline, has found itself at the centre 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 has 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.
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Contenuti
Preface. Contributing Authors. 1. What is the Role of NLP in Text Retrieval? K.S. Jones. 2. NLP for Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax; C. Jacquemin, E. Tzoukermann. 3. Combining Corpus Linguistics and Human Memory Models for Automatic Term Association; G. Ruge. 4. Using NLP or NLP Resources for Information Retrieval Tasks; A.F. Smeaton. 5. Evaluating Natural Language Processing Techniques in Information Retrieval; T. Strzalkowski, et al. 6. Stylistic Experiments in Information Retrieval; J. Karlgren. 7. Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically; E. Riloff, J. Lorenzen. 8. LaSIE Jumps the Gate; Y. Wilks, R. Gaizauskas. 9. Phrasal Terms in Real-World IR Applications; J. Zhou. 10. Name Recognition and Retrieval Performance; P. Thompson, C. Dozier. 11. Collage: An NLP Toolset to Support Boolean Retrieval; J. Cowie. 12. Document Classification and Routing; L. Guthrie, et al. 13. Murax: Finding and Organizing Answers from Text Search; J. Kupiec. 14. The Use of Categories and Clusters for Organizing Retrieval Results; M. Hearst. Index.
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Natural Language Information Retrieval
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Hardcover. Condizione: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo D-570-790
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Condizione: Gut. Zustand: Gut | Seiten: 412 | Sprache: Englisch | Produktart: Bücher | 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 informa tion access has exploded. Emerging applications in computer-assisted infor mation 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. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content. Codice articolo 1658162/3
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 informa tion access has exploded. Emerging applications in computer-assisted infor mation 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. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content. 412 pp. Englisch. Codice articolo 9780792356851
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Condizione: New. Focuses on the use of Natural Language Processing (NLP) in Information Retrieval. This book discusses research systems and evaluations that represent the avenues where the impact of NLP technologies in information retrieval is being explored, and is a useful reference to those in the field of Natural Language Processing, and Information Retrieval. Editor(s): Strzalkowski, Tomek. Series: Text, Speech and Language Technology. Num Pages: 384 pages, biography. BIC Classification: CF; UYQL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 297 x 210 x 23. Weight in Grams: 752. . 1999. annotated ed. Hardback. . . . . Codice articolo V9780792356851
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 informa tion access has exploded. Emerging applications in computer-assisted infor mation 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. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch. Codice articolo 9780792356851
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 informa tion access has exploded. Emerging applications in computer-assisted infor mation 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. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content. Codice articolo 9780792356851
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Condizione: New. Focuses on the use of Natural Language Processing (NLP) in Information Retrieval. This book discusses research systems and evaluations that represent the avenues where the impact of NLP technologies in information retrieval is being explored, and is a useful reference to those in the field of Natural Language Processing, and Information Retrieval. Editor(s): Strzalkowski, Tomek. Series: Text, Speech and Language Technology. Num Pages: 384 pages, biography. BIC Classification: CF; UYQL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 297 x 210 x 23. Weight in Grams: 752. . 1999. annotated ed. Hardback. . . . . Books ship from the US and Ireland. Codice articolo V9780792356851
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