Recognizing Textual Entailment Using a Machine Learning Approach

Author:

Ríos Gaona Miguel Angel,Gelbukh Alexander,Bandyopadhyay Sivaji

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Lecture Notes in Computer Science;N.A. Castro-Sánchez,2010

2. Corley, C., Mihalcea, R.: Measuring the semantic similarity of texts. In: Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, Ann Arbor (2005)

3. Dagan, I., Glickman, O.: Probabilistic textual entailment: Generic applied modeling of language variability. In: PASCAL workshop on Text Understanding and Mining (2004);

4. Monz, C., de Rijke, M.: Light-Weight Entailment Checking for Computational Semantic. In: Blackburn, P., Kohlhase, M. (eds.) Proceedings ICoS-3 (2001)

5. De Salvo Braz, R., Girju, R., Punyakanok, V., Frentiu, D.M.: An Inference Model for Word Sense Disambiguation. In: Proceedings of KEPT 2007, Knowledge Engineering Principles and Techniques, Workshop on Recognising Textual Entailment, vol. I (2007)

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