Skip to Main content Skip to Navigation
Conference papers

Textual entailment by generality

Abstract : Textual Entailment consists in determining if an entailment relation exists between two texts. In this paper, we present an Informative Asymmetric Measure called the Asymmetric InfoSimba (AIS), which we combine with different asym-metric association measures to recognize the specific case of Textual Entailment by Generality. In particular, the AIS proposes an unsupervised, language-independent, threshold free solution. This new measure is tested against the first Recognizing Textual Entailment dataset for an exhaustive number of asymmetric association measures and shows that the combination of the AIS with the Braun-Blanket steadily improves results against competitive measures such as the one proposed by [1].
Document type :
Conference papers
Complete list of metadata
Contributor : Greyc Référent Connect in order to contact the contributor
Submitted on : Friday, October 3, 2014 - 11:53:34 AM
Last modification on : Saturday, June 25, 2022 - 9:46:48 AM
Long-term archiving on: : Sunday, January 4, 2015 - 10:11:38 AM


Files produced by the author(s)



Sebastiao Pais, Gaël Dias, Katarzyna Wegrzyn-Wolska, Robert Mahl, Pierre Jouvelot. Textual entailment by generality. Conference on Pacific Association for Computational Lingustics, PACLING 2011, Jul 2011, Kuala Lumpur, Malaysia. pp.258-266, ⟨10.1016/j.sbspro.2011.10.606⟩. ⟨hal-00659339⟩



Record views


Files downloads