Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction

@article{Marco2013ClusteringAD,
  title={Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction},
  author={A. Marco and R. Navigli},
  journal={Computational Linguistics},
  year={2013},
  volume={39},
  pages={709-754}
}
  • A. Marco, R. Navigli
  • Published 2013
  • Computer Science
  • Computational Linguistics
  • Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and subsequently shown to the user as a list of clusters. Each cluster is intended to represent a different meaning of the input query, thus taking into account the lexical ambiguity (i.e., polysemy) issue. Existing Web clustering methods typically rely on some shallow notion of textual similarity… CONTINUE READING
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