An Inference Model for Semantic Entailment in Natural Language-Reference-Cited by-同舟云学术

An Inference Model for Semantic Entailment in Natural Language

Published:2006 Issue: Volume: Page:261-286
ISSN:0302-9743
Container-title:Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment
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Author:

de Salvo Braz Rodrigo,Girju Roxana,Punyakanok Vasin,Roth Dan,Sammons Mark

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11736790_15

Reference23 articles.

1. Dagan, I., Glickman, O.: Probabilistic textual entailment: Generic applied modeling of language variability. In: Learning Methods for Text Understanding and Mining, Grenoble, France (2004)

2. Schubert, L.K.: From english to logic: Contex-free computation of ‘conventional’ logical translations. In: Grosz, B.J., Sparck Jones, K., Webber, B.L. (eds.) Natural Language Processing. Kaufmann, Los Altos (1986)

3. Moore, R.C.: Problems in logical form. In: Grosz, B.J., Sparck Jones, K., Webber, B.L. (eds.) Natural Language Processing. Kaufmann, Los Altos (1986)

4. Hobbs, J.R., Stickel, M., Martin, P., Edwards, D.: Interpretation as abduction. In: Proc. of the 26th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 95–103 (1988)

5. Lecture Notes in Artificial Intelligence;C.M. Cumby,2003

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