Paper: Generating Lexical Analogies Using Dependency Relations

ACL ID D07-1059
Title Generating Lexical Analogies Using Dependency Relations
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

A lexical analogy is a pair of word-pairs that share a similar semantic relation. Lex- ical analogies occur frequently in text and are useful in various natural language pro- cessing tasks. In this study, we present a system that generates lexical analogies au- tomatically from text data. Our system dis- covers semantically related pairs of words by using dependency relations, and applies novel machine learning algorithms to match these word-pairs to form lexical analogies. Empirical evaluation shows that our system generates valid lexical analogies with a pre- cision of 70%, and produces quality output although not at the level of the best human- generated lexical analogies.