Noun sense induction using web search results

Authors:
Goldee Udani;Shachi Dave;Anthony Davis;Tim Sibley
Affiliations:
StreamSage Inc., Washington, DC;StreamSage Inc., Washington, DC;StreamSage Inc., Washington, DC;StreamSage Inc., Washington, DC
Venue:
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2005

Citing 3
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IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence

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Abstract

This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any other external knowledge source. Preliminary results on a small dataset show that this technique provides two advantages over other techniques in the literature: it detects real-world senses not found in dictionaries or other lexical resources, and it does not require that the number of word senses be specified in advance.