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Automatic Indexing and Abstracting of Document Texts by Marie-Francine Moens.

By: Moens, Marie-Francine, 1957-.
Material type: TextTextSeries: Publisher: Boston, MA : Kluwer Academic Publishers, 2000Description: 1 online resource (: v.: digital.ISBN: 9780306470172; 0306470179; 0792377931.Subject(s): Data structures (Computer science) | Information storage and retrieval systems | Artificial intelligence | Text processing (Computer science)Genre/Form: Electronic books. DDC classification: 025.30285 Online resources: WorldCat details | E-book Fulltext Summary: Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 025.30285 MOA 2000 (Browse shelf) Not for loan
Text Text EWU Library
Reserve Section
Non-fiction 025.30285 MOA 2000 (Browse shelf) C-1 Not For Loan 28925
Text Text EWU Library
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Non-fiction 025.30285 MOA 2000 (Browse shelf) C-2 Available 28926
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Includes bibliographical references and index

Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.

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