This paper describes a system, WOLFIE (WOrd Learning From Interpreted Examples), that learns a semantic lexicon from a corpus of sentences paired with representations of their meaning. The lexicon learned consists of words paired with representations of their meaning, and allows for both synonymy and polysemy. WOLFIE is part of an integrated system that learns to parse novel sentences into their meaning representations. Experimental results are presented that demonstrate WOLFIE's ability to learn useful lexicons for a realistic domain. The lexicons learned by WOLFIE are also compared to those learned by another lexical acquisition system, that of Siskind (1996).

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unpublished. Submitted for review.

@Unpublished{thompson:unpub97, title={Semantic Lexicon Acquisition for Learning Parsers}, author={Cynthia A. Thompson and Raymond J. Mooney}, note={Submitted for review}, url="http://www.cs.utexas.edu/users/ai-lab?thompson:unpub97", year={1997} }