SAGAN: a machine translation approach for cross-lingual textual entailment

  • Authors:
  • Julio Castillo;Marina Cardenas

  • Affiliations:
  • UNC-FaMAF, Argentina and UTN-FRC, Argentina;UTN-FRC, Argentina

  • 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 describes our participation in the task denominated Cross-Lingual Textual Entailment (CLTE) for content synchronization. We represent an approach to CLTE using machine translation to tackle the problem of multilinguality. Our system resides on machine learning and in the use of WordNet as semantic source knowledge. Results are very promising always achieving results above mean score.