Which "Apple" are you talking about ?

Authors:
Mandar A. Rahurkar;Dan Roth;Thomas S. Huang
Affiliations:
University of Illinois, Urbana-Champaign, IL, USA;University of Illinois, Urbana-Champaign, IL, USA;University of Illinois, Urbana-Champaign, IL, USA
Venue:
Proceedings of the 17th international conference on World Wide Web
Year:
2008

Citing 1
Cited 2

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ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation

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Abstract

In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed would be advantageous, for instance in determining the number of clusters in case of clustering web search results. We propose an algorithm to generate such a ranked list of distinct concepts associated with an ambiguous word. Concepts which are popular in terms of usage are ranked higher. We evaluate the coverage of the concepts inferred from our algorithm on the results retrieved by querying the ambiguous word using a major search engine and show a coverage of 85% for top 30 documents averaged over all keywords.