The Stanford Wordnet Project: Automatically Learning Semantic Hierarchies

Rion Snow

Stanford University

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Notice:  hosted by David Israel

Date:  Thursday January 29, 2009 at 11:00

Location:  EJ228 (SRI E building)  (Directions)

This talk describes our work in learning semantic relations and WordNet-like taxonomies from English text. We use machine learning methods to learn the hypernym (is a kind of) and coordinate term (is similar to) relations, and propose a model for inferring taxonomies that combine heterogenous evidence sources for maximal benefit. Our work has resulted in the Stanford Wordnet Project, which currently offers an augmented version of WordNet with 400,000 additional automatically-inferred hyponyms (available at http://ai.stanford.edu/~rion/swn/augmented.html).

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