UNT: SubFinder: combining knowledge sources for automatic lexical substitution

SemEval@ACL(2007)

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摘要
This paper describes the University of North Texas SubFinder system. The system is able to provide the most likely set of substitutes for a word in a given context, by combining several techniques and knowledge sources. SubFinder has successfully participated in the best and out of ten (oot) tracks in the SemEval lexical substitution task, consistently ranking in the first or second place.
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关键词
knowledge source,automatic lexical substitution,north texas subfinder system,likely set,semeval lexical substitution task
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