Relatedness curves for acquiring paraphrases

  • Authors:
  • Georgiana Dinu;Grzegorz Chrupala

  • Affiliations:
  • Saarland University Saarbruecken, Germany;Saarland University Saarbruecken, Germany

  • Venue:
  • GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics
  • Year:
  • 2010

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Abstract

In this paper we investigate methods for computing similarity of two phrases based on their relatedness scores across all ranks k in a SVD approximation of a phrase/term co-occurrence matrix. We confirm the major observations made in previous work and our preliminary experiments indicate that these methods can lead to reliable similarity scores which in turn can be used for the task of paraphrasing.