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Author Thompson, Cynthia ♦ Mooney, Raymond
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Semantic Lexicon Acquisition ♦ Learning Parser ♦ Semantic Lexicon ♦ Lexical Acquisition System ♦ Demonstrate Wolfie ♦ Integrated System ♦ Meaning Representation ♦ Word Learning Interpreted Example ♦ Useful Lexicon ♦ Natural Language Processing ♦ Experimental Result ♦ Realistic Domain ♦ Novel Sentence
Abstract 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 ] . Introduction There is increasing interest in automating the process of building natural language processing (NLP) systems using training corpora. The semantic lexicon, or the mapping from words to meanings, is one component that is typically difficult to construct and update, and changes from one domain to the next. Con...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1998-01-01