23.4514, Books: Multi-source, Multilingual Information Extraction and Summarization: Poibeau, Saggion, Piskorski, Yangarber (Eds)
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LINGUIST List: Vol-23-4514. Tue Oct 30 2012. ISSN: 1069 - 4875.
Subject: 23.4514, Books: Multi-source, Multilingual Information Extraction and Summarization: Poibeau, Saggion, Piskorski, Yangarber (Eds)
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Date: Tue, 30 Oct 2012 10:31:20
From: Federica Corradi Dell'Acqua [federica.corradidellacqua at springer.com]
Subject: Multi-source, Multilingual Information Extraction and Summarization: Poibeau, Saggion, Piskorski, Yangarber (Eds)
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Title: Multi-source, Multilingual Information Extraction and
Summarization
Series Title: Theory and Applications of Natural Language Processing
Publication Year: 2012
Publisher: Springer
http://www.springer.com
Book URL: http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-642-28568-
Editor: Thierry Poibeau
Editor: Horacio Saggion
Editor: Jakub Piskorski
Editor: Roman Yangarber
Electronic: ISBN: 9783642285691 Pages: 340 Price: Europe EURO 89
Hardback: ISBN: 9783642285684 Pages: 340 Price: Europe EURO 100
Abstract:
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.
Linguistic Field(s): Computational Linguistics
Written In: English (eng)
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