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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 3-4/2014

01.09.2014 | Review

Review of information extraction technologies and applications

verfasst von: Sharon Gower Small, Larry Medsker

Erschienen in: Neural Computing and Applications | Ausgabe 3-4/2014

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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.
Vorheriger Artikel ELM-based gene expression classification with misclassification cost
Nächster Artikel Extreme learning machine and its applications

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

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