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.
Cite
CITATION STYLE
Romacker, M., & Hahn, U. (2001). Context-based ambiguity management for natural language processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2116, pp. 184–197). Springer Verlag. https://doi.org/10.1007/3-540-44607-9_14
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