Using machine translation systems to expand a corpus in textual entailment

Authors:
Julio J. Castillo
Affiliations:
National University of Cordoba, FaMAF, Cordoba, Argentina and National Technological University, FRC, Cordoba, Argentina
Venue:
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Year:
2010

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Abstract

This paper explores how to increase the size of Textual Entailment Corpus by using Machine Translation systems to generate additional 〈t,h〉 pairs. We also analyze the theoretical upper bound of a Corpus expanded by machine translation systems, and propose how it computes the confidence of a classification translator-based RTE system. At the end, we show an algorithm to expand the corpus size using Translator engines and we provide some results over a real RTE system.