HDU: cross-lingual textual entailment with SMT features

  • Authors:
  • Katharina Wäschle;Sascha Fendrich

  • Affiliations:
  • Linguistics Heidelberg, University Heidelberg, Germany;Linguistics Heidelberg, University Heidelberg, Germany

  • 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

We describe the Heidelberg University system for the Cross-lingual Textual Entailment task at SemEval-2012. The system relies on features extracted with statistical machine translation methods and tools, combining monolingual and cross-lingual word alignments as well as standard textual entailment distance and bag-of-words features in a statistical learning framework. We learn separate binary classifiers for each entailment direction and combine them to obtain four entailment relations. Our system yielded the best overall score for three out of four language pairs.