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Review of information extraction technologies and applications

Zeitschrift:: Neural Computing and Applications > Ausgabe 3-4/2014

Autoren:: Sharon Gower Small, Larry Medsker

Abstract

Information extraction (IE) is an important and growing field, in part because of the development of ubiquitous social media networking millions of people and producing huge collections of textual information. Mined information is being used in a wide array of application areas from targeted marketing of products to intelligence gathering for military and security needs. IE has its roots in artificial intelligence fields including machine learning, logic and search algorithms, computational linguistics, and pattern recognition. This review summarizes the history of IE, surveys the various uses of IE, identifies current technological accomplishments and challenges, and explores the role that neural and adaptive computing might play in future research. A goal for this review is also to encourage practitioners of neural and adaptive computing to look for interesting applications in the important emerging area of IE.

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Titel: Review of information extraction technologies and applications
Autoren:: Sharon Gower Small
Larry Medsker
Publikationsdatum: 01.09.2014
DOI: https://doi.org/10.1007/s00521-013-1516-6
Verlag: Springer London
Zeitschrift: Neural Computing and Applications
Ausgabe 3-4/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058

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