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AIC Seminar Series

The Stanford Wordnet Project: Automatically Learning Semantic Hierarchies

Rion SnowStanford University[Home Page]

Notice:  hosted by David Israel

Date:  2009-01-29 at 11:00

Location:  EJ228 (SRI E building)  (Directions)

   Abstract

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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