From fusion to re-ranking: a semantic approach

  • Caputo A
  • Basile P
  • Semeraro G
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Abstract

A number of works have shown that the aggregation of several Information Retrieval (IR) systems works better than each system working individually. Nevertheless, early investigation in the context of CLEF Robust-WSD task, in which semantics is involved, showed that aggregation strategies achieve only slight improvements. This paper proposes a re-ranking approach which relies on inter-document similarities. The novelty of our idea is twofold: the output of a semantic based IR system is exploited to re-weigh documents and a new strategy based on Semantic Vectors is used to compute inter-document similarities.

Author-supplied keywords

  • re-ranking
  • semantics
  • wordnet

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Authors

  • Annalina Caputo

  • Pierpaolo Basile

  • Giovanni Semeraro

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