BibTeX
@MISC{Wu94verbsemantics,
author = {Zhibiao Wu},
title = {Verb Semantics And Lexical Selection},
year = {1994}
}
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Abstract
... structure. As Levin has addressed (Levin 1985), the decomposition of verbs is proposed for the purposes of accounting for systematic semantic-syntactic correspondences. This results in a series of problems for MT systems: inflexible verb sense definitions; difficulty in handling metaphor and new usages; imprecise lexical selection and insufficient system coverage. It seems one approach is to apply probability methods and statistical models for some of these problems. However, the question reminds: has PSR exhausted the potential of the knowledge-based approach? If not, are there any alternatives that can improve the handling of these problems? We suggest an alternative that represents verb semantic knowledge and accounts for not only fine-tuned systematic semantic-syntactic correspondences, but also semantic-interpretation correspondences. A verb is not represented by a predicate or simple primitives, but by a set of semantic components that are sensitive to the syntactic altern
Keyphrases
lexical selection verb semantics probability method inflexible verb sense definition ptual structure verb semantic knowledge semantic component knowledge-based approach statistical model simple primitive semantic-interpretation correspondence insufficient system coverage syntactic altern fine-tuned systematic semantic-syntactic correspondence mt system systematic semantic-syntactic correspondence new usage
