A metric for computational analysis of meaning: toward an applied theory of linguistic semantics

Authors:
Sergei Nirenburg;Victor Raskin
Affiliations:
Colgate University, Hamilton, New York;Purdue University, West Lafayette, Indiana
Venue:
COLING '86 Proceedings of the 11th coference on Computational linguistics
Year:
1986

Citing 2
Cited 2

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Machine Translation
From submit to submitted via submission: on lexical rules in large-scale lexicon acquisition

ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics

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Abstract

A metric for assessing the complexity of semantic (and pragmatic) analysis in natural language processing is proposed as part of a general applied theory of linguistic semantics for NLP. The theory is intended as a complete projection of linguistic semantics onto NLP and is designed as an exhaustive list of possible choices among strategies of semantic analysis at each level, from the word to the entire text. The alternatives are summarized in a chart, which can be completed for each existing or projected NLP system. The remaining components of the applied theory are also outlined.