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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Refining the Judgment Threshold to Improve Recognizing Textual Entailment Using Similarity
verfasst von : Quang-Thuy Ha, Thi-Oanh Ha, Thi-Dung Nguyen, Thuy-Linh Nguyen Thi
Erschienen in: Computational Collective Intelligence. Technologies and Applications
Verlag: Springer Berlin Heidelberg
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In recent years, Recognizing Textual Entailment (RTE) catches strongly the attention of the Natural Language Processing (NLP) community. Using Similarity is an useful method for RTE, in which the Judgment Threshold plays an important role as the learning model. This paper proposes an RTE model based on using similarity. We describe clearly the solutions to determine and to refine the Judgment Threshold for Improvement RTE. The measure of the synonym similarity also is considered. Experiments on a Vietnamese version of the RTE3 corpus are showed.