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SIGIR
2005
ACM
14 years 1 months ago
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...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
CIKM
2005
Springer
14 years 1 months ago
Biasing web search results for topic familiarity
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
Giridhar Kumaran, Rosie Jones, Omid Madani
COLING
2008
13 years 9 months ago
Using Web-Search Results to Measure Word-Group Similarity
Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
Ann Gledson, John Keane
WWW
2008
ACM
14 years 8 months ago
Web people search: results of the first evaluation and the plan for the second
This paper presents the motivation, resources and results for the first Web People Search task, which was organized as part of the SemEval-2007 evaluation exercise. Also, we will ...
Javier Artiles, Satoshi Sekine, Julio Gonzalo
ICADL
2007
Springer
131views Education» more  ICADL 2007»
14 years 1 months ago
Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach
Most of the previous works that disambiguate personal names in Web search results often employ agglomerative clustering approaches. In contrast, we have adopted a semi-supervised c...
Kazunari Sugiyama, Manabu Okumura