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LINGUIST List 23.4514

Tue Oct 30 2012

Books: Multi-source, Multilingual Information Extraction and Summarization: Poibeau, Saggion, Piskorski, Yangarber (Eds)

Editor for this issue: Danniella Hornby <daniellalinguistlist.org>

Date: 24-Oct-2012
From: Federica Corradi Dell'Acqua <federica.corradidellacquaspringer.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)

See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=62772
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