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- W2611441330 abstract "Knowledge acquisition from text is identified as a desirable goal and an incremental, bootstrapping approach to this is outlined. As a first step, a subsystem that produces text-specific lexicons from selected machine-readable dictionary definitions has been developed. The input to this subsystem is unconstrained text; the database is Longman's Dictionary of Contemporary English (LDOCE, a machine-readable dictionary which is, itself, simply a special purpose text); the output is a collection of lexical semantic objects, one for every sense of every word in the text. Each lexical semantic object in this lexicon is in a general purpose predicate and frame representation. A relative contextual score is computed for selected objects; these scores provide a simple metric for comparing competing word senses to address the problem of lexical ambiguity. Further, the text of selected dictionary definitions are analysed, to enrich the resulting representation. The result of this processing is a knowledge-base suitable for a larger system of Preference Semantics and knowledge-based parsing—the next step in the bootstrapping schedule." @default.
- W2611441330 created "2017-05-12" @default.
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- W2611441330 date "1989-03-01" @default.
- W2611441330 modified "2023-10-16" @default.
- W2611441330 title "Extracting lexical knowledge from dictionary text" @default.
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- W2611441330 doi "https://doi.org/10.1016/s1042-8143(89)80007-x" @default.
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