Multi-Source, Multilingual Information Extraction and Summarization PDF ePub eBook

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Multi-Source, Multilingual Information Extraction and Summarization free pdf 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.

About Thierry Poibeau

*Thierry Poibeau* holds a PhD and an Habilitation in Computer Science from the University Paris 13. From 1998 to 2003, he has worked for Thales Research and Technology, where he was responsible for research activities in information extraction. Since 2003, he is a CNRS research fellow, working first at the Laboratoire d'Informatique de Paris-Nord (LIPN) and now at the LaTTiCe laboratory. He is also an affiliated lecturer at the Research Centre for English and Applied Linguistics (RCEAL) of the University of Cambridge (UK). Thierry Poibeau has managed and/or participated in several national and European projects related to his research areas. He has published one book on information extraction, 3 international patents and more than 50 papers in books, international journals and conferences. He has organised several international workshops and acted as programme committee member for over 20 international conferences (e.g. IJCAI, COGSCI, COLING) and associated workshops. *Horacio Saggion* is a Research Professor at the Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain. He obtained his PhD in computer Science from University of Montreal in 2000. He works in the areas of information extraction, text summarization, and semantic analysis. He has published over 50 works in journals, international conferences, workshops, and books. He has been principal researcher and manager for a number of national and international projects, and organized a series of workshops in tha areas of information extraction and summarization. He has also acted in scientific committees for international conferences in Human Language Technology. *Jakub Pislorski* received his M.Sc in Computer Science from the University of Saarbrucken, Germany in 1994 and PhD from the Polish Academy of Sciences in Warsaw, Poland in 2002. Jakub is a Research Associate at the Polish Academy of Sciences and he is also managing projects related to NLP in the R

Details Book

Author : Thierry Poibeau
Publisher : Springer-Verlag Berlin and Heidelberg GmbH
Data Published : 19 September 2014
ISBN : 3642430902
EAN : 9783642430909
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 324 pages
Age + : 15 years
Language : English
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