Dependency-based paraphrasing for recognizing textual entailment

  • Authors:
  • Erwin Marsi;Emiel Krahmer;Wauter Bosma

  • Affiliations:
  • Tilburg University, The Netherlands;Tilburg University, The Netherlands;University of Twente, The Netherlands

  • Venue:
  • RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper addresses syntax-based paraphrasing methods for Recognizing Textual Entailment (RTE). In particular, we describe a dependency-based paraphrasing algorithm, using the DIRT data set, and its application in the context of a straightforward RTE system based on aligning dependency trees. We find a small positive effect of dependency-based paraphrasing on both the RTE3 development and test sets, but the added value of this type of paraphrasing deserves further analysis.