LEADER 03660nam 2200637 a 450 001 9910780040303321 005 20230422042528.0 010 $a1-280-20588-1 010 $a9780306470179 010 $a9786610205882 010 $a0-306-47017-9 024 7 $a10.1007/b116177 035 $a(CKB)111056486607660 035 $a(EBL)3035345 035 $a(SSID)ssj0000107952 035 $a(PQKBManifestationID)11109081 035 $a(PQKBTitleCode)TC0000107952 035 $a(PQKBWorkID)10016220 035 $a(PQKB)10875066 035 $a(DE-He213)978-0-306-47017-2 035 $a(MiAaPQ)EBC3035345 035 $a(Au-PeEL)EBL3035345 035 $a(CaPaEBR)ebr10046957 035 $a(CaONFJC)MIL20588 035 $a(OCoLC)50322394 035 $a(EXLCZ)99111056486607660 100 $a20000103d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAutomatic indexing and abstracting of document texts$b[electronic resource] /$fby Marie-Francine Moens 205 $a1st ed. 2002. 210 $aBoston $cKluwer Academic Publishers$dc2000 215 $a1 online resource (282 p.) 225 1 $aThe Kluwer international series on information retrieval ;$v6 300 $aDescription based upon print version of record. 311 $a0-7923-7793-1 320 $aIncludes bibliographical references (p. p. [237]-260) and index. 327 $aThe Indexing and Abstracting Environment -- The Need for Indexing and Abstracting Texts -- The Attributes of Text -- Text Representations and Their Use -- Methods of Automatic Indexing and Abstracting -- Automatic Indexing: The Selection of Natural Language Index Terms -- Automatic Indexing: The Assignment of Controlled Language Index Terms -- Automatic Abstracting: The Creation of Text Summaries -- Applications -- Text Structuring and Categorization When Summarizing Legal Cases -- Clustering of Paragraphs When Summarizing Legal Cases -- The Creation of Highlight Abstracts of Magazine Articles -- The Assignment of Subject Descriptors to Magazine Articles. 330 $aAutomatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval. 410 0$aKluwer international series on information retrieval ;$v6. 606 $aAutomatic indexing 606 $aAutomatic abstracting 615 0$aAutomatic indexing. 615 0$aAutomatic abstracting. 676 $a025.3/0285 700 $aMoens$b Marie-Francine$f1957-$01514195 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780040303321 996 $aAutomatic indexing and abstracting of document texts$93842325 997 $aUNINA