Document (#37980)

Editor
Poibeau, T. u.a.
Title
Multi-source, multilingual information extraction and summarization
Imprint
Berlin : Springer
Year
2013
Pages
XX, 323 S
Isbn
978-3-642-28568-4
Series
Theory and applications of natural language processing
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.
Footnote
Rez. in: JASIST 64(2013) no.7, S.1519-1521 (José L. Vicedo, David Tomás)
Theme
Computerlinguistik
RSWK
Natürlichsprachiges System / Information Extraction / Automatische Inhaltsanalyse / Zusammenfassung / Aufsatzsammlung
BK
54.75 (Sprachverarbeitung) <Informatik>
DDC
006.312 / DDC22ger
005.74 / DDC22ger
RVK
ST 530
ST 306
AN 95300

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