Which "Apple" are you talking about ?

Mandar A. Rahurkar, Dan Roth, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceeding of the 17th International Conference on World Wide Web 2008, WWW'08
Pages1197-1198
Number of pages2
DOIs
StatePublished - 2008
Event17th International Conference on World Wide Web 2008, WWW'08 - Beijing, China
Duration: Apr 21 2008Apr 25 2008

Publication series

NameProceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Other

Other17th International Conference on World Wide Web 2008, WWW'08
Country/TerritoryChina
CityBeijing
Period4/21/084/25/08

Keywords

  • Clustering
  • Concepts
  • Wikipedia

ASJC Scopus subject areas

  • Computer Networks and Communications

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