SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Textual entailment recognition based on dependency analysis and wordnet
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Automatic assignment of wikipedia encyclopedic entries to wordnet synsets
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Refining the judgment threshold to improve recognizing textual entailment using similarity
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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The Bleu algorithm has been used in many different fields. Another possible application is the automatic recognition of textual entailment. Bleu works at the lexical level, by comparing a candidate text with several reference texts in order to calculate how close the candidate text is to the references. In this case, the candidate is the text part of the entailment and the hypothesis is the unique reference. The algorithm achieves an accuracy of around 50%. Moreover, in this paper we explore the application of Bleu-like algorithms, finding that they can reach an accuracy of around 56%, which proves its possible use as a baseline for the task of recognizing entailment.