Translators in Textual Entailment

Autor: Julio Javier Castillo
Rok vydání: 2010
Předmět:
Zdroj: Advances in Intelligent and Soft Computing ISBN: 9783642148828
DCAI
DOI: 10.1007/978-3-642-14883-5_25
Popis: This paper presents how the size of Textual Entailment Corpus could be increased by using Translators to generate additional 〈t, h〉 pairs. Also, we show the theoretical upper bound of a Corpus expanded by translators. Then, we propose an algorithm to expand the corpus size using Translator engines starting from a RTE Corpus, and finally we show the benefits that it could produce on RTE systems.
Databáze: OpenAIRE