LEADER 05157nam 2200613Ia 450 001 9910483811103321 005 20200520144314.0 010 $a1-283-61176-7 010 $a9786613924216 010 $a3-642-28569-4 024 7 $a10.1007/978-3-642-28569-1 035 $a(CKB)2560000000090924 035 $a(EBL)973816 035 $a(OCoLC)809767712 035 $a(SSID)ssj0000738473 035 $a(PQKBManifestationID)11457953 035 $a(PQKBTitleCode)TC0000738473 035 $a(PQKBWorkID)10792622 035 $a(PQKB)10650096 035 $a(DE-He213)978-3-642-28569-1 035 $a(MiAaPQ)EBC973816 035 $a(PPN)168312255 035 $a(EXLCZ)992560000000090924 100 $a20100301h20122013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMulti-source, multilingual information extraction and summarization /$fThierry Poibeau ...[et. al.], editors 205 $a1st ed. 2013. 210 $aBerlin ;$aHeidelberg $cSpringer$d2012, c2013 215 $a1 online resource (330 p.) 225 0 $aTheory and applications of natural language processing 300 $aDescription based upon print version of record. 311 $a3-642-43090-2 311 $a3-642-28568-6 320 $aIncludes bibliographical references and index. 327 $aPart I Background and Fundamentals -- 1.Automatic Text Summarization: Past, Present and Future. Horacio Saggion and Thierry Poibeau -- Information Extraction: Past, Present and Future. Jakub Piskorski and Roman Yangarber -- Part II Named Entity in a Multilingual Context -- Learning to Match Names Across Languages. Inderjeet Mani, Alex Yeh, and Sherri Condon -- Computational Methods for Name Normalization Using Hypocoristic Personal Name Variants. Patricia Driscoll -- Entity Linking: Finding Extracted Entities in a Knowledge Base. Delip Rao, Paul McNamee, and Mark Dredze -- A Study of the Effect of Document Representations in Clustering-based Cross-document Coreference Resolution. Horacio Saggion -- Part III Information Extraction -- Interactive Topic Graph Extraction and Exploration of Web Content. Günter Neumann and Sven Schmeier -- Predicting Relevance of Event Extraction for the End User. Silja Huttunen, Arto Vihavainen, Mian Du, and Roman Yangarber -- Open-domain Multi-Document Summarization via Information Extraction: Challenges and Prospects. Heng Ji, Benoit Favre, Wen-Pin Lin, Dan Gillick, Dilek Hakkani-Tur, and Ralph Grishman -- Part IV Multi-document Summarization -- Generating Update Summaries: Using an Unsupervized Clustering Algorithm to Cluster Sentences. Aurélien Bossard -- Multilingual Statistical News Summarization. Mijail Kabadjov, Josef Steinberger and Ralf Steinberger -- A Bottom-up Approach to Sentence Ordering for Multi-document Summarization. Danushka Bollegala, Naoaki Okazaki, and Mitsuru Ishizuka -- Improving Speech-to-Text Summarization by Using Additional Information Sources. Ricardo Ribeiro and David Martins de Matos -- Multi-Document Summarization Techniques for Generating Image Descriptions: A Comparative Analysis. Ahmet Aker, Laura Plaza, Elena Lloret, and Robert Gaizauskas -- Index. 330 $aInformation extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society.   These technologies face particular challenges due to the inherent multi-source nature of the information explosion.  The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events.  There is thus a need to adapt existing techniques and develop new ones to deal with these challenges.   This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field. 410 0$aTheory and Applications of Natural Language Processing,$x2192-032X 606 $aInformation storage and retrieval systems 606 $aNatural language processing (Computer science) 615 0$aInformation storage and retrieval systems. 615 0$aNatural language processing (Computer science) 676 $a410 701 $aPoibeau$b Thierry$01330803 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483811103321 996 $aMulti-source, multilingual information extraction and summarization$94198840 997 $aUNINA LEADER 01271nam0 22003131i 450 001 UON00520749 005 20240219022610.954 010 $a84-7432-968-X 100 $a20231129d2002 |0itac50 ba 101 $aspa 102 $aES 105 $a|||| ||||| 200 1 $aˆEl ‰recurso de la cultura$eusos de la cultura en la era global$fGeorge Yúdice 210 $aBarcelona$cGedisa$d2002 215 $a475 p.$cill.$d24 cm 316 $aDonazione prof.ssa Amalia Signorelli$5IT-UONSI F. 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