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Inferring textual entailment with a probabilistically sound calculus*

Published online by Cambridge University Press:  16 September 2009

STEFAN HARMELING
STEFAN HARMELING*
Affiliation:
Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076 Tuebingen, Germany e-mail: [email protected]
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Abstract

We introduce a system for textual entailment that is based on a probabilistic model of entailment. The model is defined using a calculus of transformations on dependency trees, which is characterized by the fact that derivations in that calculus preserve the truth only with a certain probability. The calculus is successfully evaluated on the datasets of the PASCAL Challenge on Recognizing Textual Entailment.

Type
Papers
Information
Natural Language Engineering , Volume 15 , Special Issue 4: Textual Entailment , October 2009 , pp. 459 - 477
Copyright
Copyright © Cambridge University Press 2009

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