Connectionist Analysis and Creation of Context for Natural Language Understanding and Knowledge Management

Authors:
Timo Honkela
Affiliations:
-
Venue:
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Year:
1999

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Abstract

Context affects many aspects of the behavior. Natural language understanding is one of the prime examples. This paper summarizes how an artificial neural network, the self-organizing map, can be used in modeling contextuality in data analysis and natural language processing. Important aspects are adaptivity gained by using a learning system, autonomous nature of the processing based on unsupervised learning paradigm, and gradedness of the representation. Examples in the application areas of information retrieval and knowledge management are considered. For instance, the visualization of self-organizing maps provides meaningful context for documents.