Refining the Judgment Threshold to Improve Recognizing Textual Entailment Using Similarity

  • Quang-Thuy Ha
  • Thi-Oanh Ha
  • Thi-Dung Nguyen
  • Thuy-Linh Nguyen Thi
Conference paper

DOI: 10.1007/978-3-642-34707-8_34

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7654)
Cite this paper as:
Ha QT., Ha TO., Nguyen TD., Thi TL.N. (2012) Refining the Judgment Threshold to Improve Recognizing Textual Entailment Using Similarity. In: Nguyen NT., Hoang K., Jȩdrzejowicz P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science, vol 7654. Springer, Berlin, Heidelberg

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.

Keywords

Recognizing Textual Entailment the Judgment Threshold Refining the Judgment Threshold 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Quang-Thuy Ha
    • 1
  • Thi-Oanh Ha
    • 1
  • Thi-Dung Nguyen
    • 1
  • Thuy-Linh Nguyen Thi
    • 1
  1. 1.College of Technology (UET)Vietnam National University, Hanoi (VNU)HanoiVietnam

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