03574nam 2200697 a 450 991096603650332120200520144314.0978661216330297812821633001282163302978902729910990272991029789027249869902724986510.1075/nlp.3(CKB)1000000000000790(SSID)ssj0000277116(PQKBManifestationID)11217996(PQKBTitleCode)TC0000277116(PQKBWorkID)10233681(PQKB)10324986(MiAaPQ)EBC622259(Au-PeEL)EBL622259(CaPaEBR)ebr5000290(CaONFJC)MIL216330(OCoLC)559456354(MiAaPQ)EBC3039584(DE-B1597)720124(DE-B1597)9789027299109(EXLCZ)99100000000000079020010329d2001 uy 0engurcn|||||||||txtccrAutomatic summarization /Inderjeet Mani1st ed.Amsterdam ;Philadelphia J. Benjamins Pub. Co.c2001xviii, 233 pNatural language processing ;3Bibliographic Level Mode of Issuance: Monograph9789027249852 9027249857 9781588110602 1588110605 Includes bibliographical references and index.Automatic Summarization -- Editorial page -- Title page -- LCC data -- Table of ontents -- Preface -- Chapter 1. Preliminaries -- Chapter 2. Professional summarizing -- Chapter 3. Extraction -- Chapter 4. Revision -- Chapter 5. Discourse-level information -- Chapter 6. Abstraction -- Chapter 7. Multi-document summarization -- Chapter 8. Multimedia summarization -- Chapter 9. Evaluation -- Chapter 10. Postscript -- References -- Index.With the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human summarizers, and automatic methods that leverage linguistic and statistical knowledge to produce extracts and abstracts. Drawing from a wealth of research in artificial intelligence, natural language processing, and information retrieval, the book also includes detailed assessments of evaluation methods and new topics such as multi-document and multimedia summarization. Previous automatic summarization books have been either collections of specialized papers, or else authored books with only a chapter or two devoted to the field as a whole. This is the first textbook on the subject, developed based on teaching materials used in two one-semester courses. To further help the student reader, the book includes detailed case studies, accompanied by end-of-chapter reviews and an extensive glossary.Audience: students and researchers, as well as information technology managers, librarians, and anyone else interested in the subject.Natural language processing ;3.Automatic abstractingAutomatic abstracting.025.4/028Mani Inderjeet563299MiAaPQMiAaPQMiAaPQBOOK9910966036503321Automatic Summarization951963UNINA