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.
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Castillo, J.J. (2010). Using Machine Translation Systems to Expand a Corpus in Textual Entailment. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds) Advances in Natural Language Processing. NLP 2010. Lecture Notes in Computer Science(), vol 6233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14770-8_12
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DOI: https://doi.org/10.1007/978-3-642-14770-8_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14769-2
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