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Context-Based Ambiguity Management for Natural Language Processing

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2116))

Abstract

We introduce a formal context mechanism, embedded into a description logics framework, which allows to uniformly represent and manage different kinds of natural language ambiguities as they occur in the course of text understanding. Multiple lexical, syntactic and semantic interpretations are separated by assigning each of these alternatives a single context space for local reasoning and incremental disambiguation.

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© 2001 Springer-Verlag Berlin Heidelberg

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Romacker, M., Hahn, U. (2001). Context-Based Ambiguity Management for Natural Language Processing. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_14

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  • DOI: https://doi.org/10.1007/3-540-44607-9_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42379-9

  • Online ISBN: 978-3-540-44607-1

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