LEADER 03334nam  2200601 a 450 
001 9910818890203321
005 20200520144314.0
010   $a1-282-16330-2
010   $a90-272-9910-2
010   $a9786612163302
010   $a90-272-4986-5
035   $a(CKB)1000000000000790
035   $a(SSID)ssj0000277116
035   $a(PQKBManifestationID)11217996
035   $a(PQKBTitleCode)TC0000277116
035   $a(PQKBWorkID)10233681
035   $a(PQKB)10324986
035   $a(MiAaPQ)EBC622259
035   $a(Au-PeEL)EBL622259
035   $a(CaPaEBR)ebr5000290
035   $a(CaONFJC)MIL216330
035   $a(OCoLC)559456354
035   $a(MiAaPQ)EBC3039584
035   $a(EXLCZ)991000000000000790
100   $a20010329d2001      uy         0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt
182   $cc
183   $acr
200 10$aAutomatic summarization /$fInderjeet Mani
205   $a1st ed.
210   $aAmsterdam ;$aPhiladelphia $cJ. Benjamins Pub. Co.$dc2001
215   $axviii, 233 p
225 1 $aNatural language processing ;$v3
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a90-272-4985-7 
311   $a1-58811-060-5 
320   $aIncludes bibliographical references and index.
327   $aAutomatic 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.
330   $aWith the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human summarizers, and automatic methods that leverage linguistic and statistical knowledge to produce extracts and abstracts. Drawing from a wealth of research in artificial intelligence, natural language processing, and information retrieval, the book also includes detailed assessments of evaluation methods and new topics such as multi-document and multimedia summarization. Previous automatic summarization books have been either collections of specialized papers, or else authored books with only a chapter or two devoted to the field as a whole. This is the first textbook on the subject, developed based on teaching materials used in two one-semester courses. To further help the student reader, the book includes detailed case studies, accompanied by end-of-chapter reviews and an extensive glossary.Audience: students and researchers, as well as information technology managers, librarians, and anyone else interested in the subject.
410  0$aNatural language processing ;$v3.
606   $aAutomatic abstracting
615  0$aAutomatic abstracting.
676   $a025.4/028
700   $aMani$b Inderjeet$0563299
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910818890203321
996   $aAutomatic Summarization$9951963
997   $aUNINA