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Knowledge representation for natural language processing in implemented systems

Published online by Cambridge University Press:  01 September 1997

SYED S. ALI  and
ŁUCJA IWAŃSKA
SYED S. ALI
Affiliation:
Department of Mathematical Sciences, University of Wisconsin–Milwaukee, Milwaukee, WI 53201, USA
ŁUCJA IWAŃSKA
Affiliation:
Computer Science Department, Wayne State University, Detroit, MI 48202, USA
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Abstract

This special issue presents the state-of-the-art in implemented, general-purpose Natural Language Processing (NLP) systems that use nontrivial Knowledge Representation and Reasoning (KRR). These systems use full-scale implementations of traditional KRR techniques as well as some newer knowledge-related processing mechanisms that have been developed specifically to meet the needs of natural language processing. The papers cover a wide range of natural language inputs, knowledge and formalisms, application domains and processing tasks, illustrating the key role that knowledge representation plays in all types of NLP systems.

Information

Type
Research Article
Information
Natural Language Engineering , Volume 3 , Issue 2 , September 1997 , pp. 97 - 101
Copyright
1997 Cambridge University Press

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