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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Information Extraction from Text and Beyond

Information Extraction from Text and Beyond
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Author(s): Marie-Francine Moens (Katholieke Universiteit Leuven, Belgium)
Copyright: 2012
Pages: 16
Source title: Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches
Source Author(s)/Editor(s): Chutima Boonthum-Denecke (Hampton University, USA), Philip M. McCarthy (The University of Memphis, USA)and Travis Lamkin (University of Memphis, USA)
DOI: 10.4018/978-1-61350-447-5.ch003

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Abstract

In this chapter, the author defines information extraction from text, describes common information extraction tasks, and discusses current information extraction issues being the need to develop technologies that require a minimum of human supervision, to build systems that automatically acquire world knowledge, and to integrate their outputs into advanced information extraction systems. Current emerging research on extraction of narrative scenarios and complex concepts revives an old dream and opens a way to full natural language understanding.

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