Refining the judgment threshold to improve recognizing textual entailment using similarity

Authors:
Quang-Thuy Ha;Thi-Oanh Ha;Thi-Dung Nguyen;Thuy-Linh Nguyen Thi
Affiliations:
College of Technology (UET), Vietnam National University, Hanoi (VNU), Hanoi, Vietnam;College of Technology (UET), Vietnam National University, Hanoi (VNU), Hanoi, Vietnam;College of Technology (UET), Vietnam National University, Hanoi (VNU), Hanoi, Vietnam;College of Technology (UET), Vietnam National University, Hanoi (VNU), Hanoi, Vietnam
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Year:
2012

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Abstract

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.