01054nam2 22002651i 450 VAN003514420070330120000.088-02-03751-520070330d1982 |0itac50 baitaIT|||| |||||ˆ2: ‰Elementi di scienza politicaGaetano MoscaTorinoUTET1982P. 544-1158, [4] c. di tav.ill.24 cm.001VAN00348072001 Scritti politicidi Gaetano Moscaa cura di Giorgio Sola210 TorinoUtet1982215 v.23 cm.2TorinoVANL000001MoscaGaetanoVANV015516122041UTET <editore>VANV107949650ITSOL20240614RICABIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZAIT-CE0105VAN00VAN0035144BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00CONS XXI.Ab.Cb. 10(2) 00 798445508 20070330 Elementi di scienza politica32898UNICAMPANIA05157nam 2200613Ia 450 991048381110332120200520144314.01-283-61176-797866139242163-642-28569-410.1007/978-3-642-28569-1(CKB)2560000000090924(EBL)973816(OCoLC)809767712(SSID)ssj0000738473(PQKBManifestationID)11457953(PQKBTitleCode)TC0000738473(PQKBWorkID)10792622(PQKB)10650096(DE-He213)978-3-642-28569-1(MiAaPQ)EBC973816(PPN)168312255(EXLCZ)99256000000009092420100301h20122013 uy 0engur|n|---|||||txtccrMulti-source, multilingual information extraction and summarization /Thierry Poibeau ...[et. al.], editors1st ed. 2013.Berlin ;Heidelberg Springer2012, c20131 online resource (330 p.)Theory and applications of natural language processingDescription based upon print version of record.3-642-43090-2 3-642-28568-6 Includes bibliographical references and index.Part 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.Information 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.Theory and Applications of Natural Language Processing,2192-032XInformation storage and retrieval systemsNatural language processing (Computer science)Information storage and retrieval systems.Natural language processing (Computer science)410Poibeau Thierry1330803MiAaPQMiAaPQMiAaPQBOOK9910483811103321Multi-source, multilingual information extraction and summarization4198840UNINA