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Robust methods in analysis of natural language data

Published online by Cambridge University Press:  23 August 2002

AFZAL BALLIM  and
VINCENZO PALLOTTA
AFZAL BALLIM
Affiliation:
School of Information and Communication Sciences, Swiss Federal Institute of Technology, Lausanne, Switzerland
VINCENZO PALLOTTA
Affiliation:
School of Information and Communication Sciences, Swiss Federal Institute of Technology, Lausanne, Switzerland
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Abstract

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The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.

Information

Type
Research Article
Information
Natural Language Engineering , Volume 8 , Issue 2-3 , June 2002 , pp. 93 - 96
Copyright
2002 Cambridge University Press