Noun sense induction using web search results Goldee Udani, Shachi Dave, Anthony Davis, and Tim Sibley   View Paper (PDF)   Return to Posters 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. ©2006 Association for Computing Machinery