Automatic Retrieval and Clustering of Similar Words

Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed thesaurus. The evaluation results show that the thesaurus is significantly closer to WordNet than Roget Thesaurus is.

• Type: Conference
• Year: 1998
• Where: ACL
• Authors: Dekang Lin
• Keywords: ACL 1998, ACL 2007, Similarity Measure, Thesaurus, Word Similarity Measure