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...
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...
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...
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 ...
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...