Measuring semantic relatedness using multilingual representations

  • Authors:
  • Samer Hassan;Carmen Banea;Rada Mihalcea

  • Affiliations:
  • University of North Texas, Denton, TX;University of North Texas, Denton, TX;University of North Texas, Denton, TX

  • Venue:
  • SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
  • Year:
  • 2012

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Abstract

This paper explores the hypothesis that semantic relatedness may be more reliably inferred by using a multilingual space, as compared to the typical monolingual representation. Through evaluations using several state-of-the-art semantic relatedness systems, applied on standard datasets, we show that a multilingual approach is better suited for this task, and leads to improvements of up to 47% with respect to the monolingual baseline.