Combining Specialized Entailment Engines

نویسندگان

  • Bernardo Magnini
  • Elena Cabrio
چکیده

In this paper we propose a general method for the combination of specialized textual entailment engines. Each engine is supposed to address a specific language phenomenon, which is considered relevant for drawing semantic inferences. The model is based on the idea that the distance between the Text and the Hypothesis can be conveniently decomposed into a combination of distances estimated by single and disjoint engines over distinct linguistic phenomena. We provide both the formal definition of the model and preliminary empirical evidences supporting the underlying intuition.

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تاریخ انتشار 2009