Multi-source, Multilingual Information Extraction and Summarization (Theory and Applications of Natural Language Processing)

ISBN 10: 3642430902 / ISBN 13: 9783642430909

Published by Springer, 2014

About this Item

Seller Inventory # ABLIING23Mar3113020227266

Bibliographic Details

Title: Multi-source, Multilingual Information ...

Publisher: Springer

Publication Date: 2014

Binding: Soft cover

Condition: New

About this title

Synopsis:

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.

Review:

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)