Similarity Between Pairs Of Co-Indexed Trees For Textual Entailment Recognition

نویسندگان

  • Fabio Massimo Zanzotto
  • Alessandro Moschitti
چکیده

In this paper we present a novel similarity between pairs of co-indexed trees to automatically learn textual entailment classifiers. We defined a kernel function based on this similarity along with a more classical intra-pair similarity. Experiments show an improvement of 4.4 absolute percent points over state-of-the-art methods.

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تاریخ انتشار 2006