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UC3M_13: disambiguation of person names based on the composition of simple bags of typed terms

Published:23 June 2007Publication History

ABSTRACT

This paper describes a system designed to disambiguate person names in a set of Web pages. In our approach Web documents are represented as different sets of features or terms of different types (bag of words, URLs, names and numbers). We apply Agglomerative Vector Space clustering that uses the similarity between pairs of analogous feature sets. This system achieved a value of 66% for Fα=0.2 and a value of 48% for Fα=0.5 in the Web People Search Task at SemEval-2007 (Artiles et al., 2007).

References

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  1. UC3M_13: disambiguation of person names based on the composition of simple bags of typed terms

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    • Published in

      cover image DL Hosted proceedings
      SemEval '07: Proceedings of the 4th International Workshop on Semantic Evaluations
      June 2007
      530 pages

      Publisher

      Association for Computational Linguistics

      United States

      Publication History

      • Published: 23 June 2007

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate8of31submissions,26%

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