Multi-source, Multilingual Information Extraction and Summarization
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Beschreibung
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.
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.
First book that addresses specifically multi-source and multi-lingual applications for factual as well as subjective content The book treats a highly challenging and cutting-edge area It contains a selection of the original papers, as well as a selection of extended papers from the two MMIES workshops ? Includes supplementary material: sn.pub/extras
Autor*in
Thierry Poibeau
Themen in »Multi-source, Multilingual Information Extraction and Summarization«
Content analysis Information extraction Multilinguality Text mining Text summarization
Stimmen zu »Multi-source, Multilingual Information Extraction and Summarization«
From the reviews:
“This book is a compilation of chapters selected from a series of papers presented at Multi-source, Multilingual Information Extraction and Summarization (MMIES), a workshop series on these two topics. … This book could be useful for researchers and technicians interested in advances in these fields.” (Mercedes Martínez González, ACM Computing Reviews, March, 2013)
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