Noun sense induction using web search results

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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Clustering. General Terms Algorithms, Experimentation Keywords Noun Sense Induction, Disambiguation, Clustering, Evaluation

• Type: Conference
• Year: 2005
• Where: SIGIR
• Authors: Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibley
• Keywords: Keywords Noun Sense, Noun Sense Induction, SIGIR 2005, Unsupervised Noun Sense