Inferring textual entailment with a probabilistically sound calculus-Reference-Cited by-同舟云学术

Inferring textual entailment with a probabilistically sound calculus

Published:2009-09-16 Issue:4 Volume:15 Page:459-477
ISSN:1351-3249
Container-title:Natural Language Engineering
language:en
Short-container-title:Nat. Lang. Eng.

Author:

HARMELING STEFAN

Abstract

AbstractWe 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.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Reference20 articles.

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