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Chinese Textual Contradiction Recognition Using Linguistic Phenomena

  • Maofu Liu
  • Yue WangEmail author
  • Donghong Ji
Conference paper
  • 615 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 480)

Abstract

Detecting contradictive texts is a crucial and fundamental work for text understanding just like textual entailment. Textual contradiction occurs when two different texts cannot both be true at the same time. This paper focuses on the linguistic phenomena behind textual contradiction, including quantity exclusion, temporal exclusion, spatial exclusion, modifier exclusion, antonym and negation. In this paper, the Chinese textual contradiction approach using linguistic phenomena has been put forward and a number of experiments on basis of one textual entailment system have been made to evaluate this approach. The experiment results demonstrate the effectiveness and feasibility of the Chinese textual contradiction recognition approach using linguistic phenomena.

Keywords

Chinese textual contradiction Linguistic phenomena Semantic rules 

Notes

Acknowledgements

The work presented in this paper is supported by the National Natural Science Foundation of China (No. 61100133 and 61173062), the Major Projects of National Social Science Foundation of China (No. 11&ZD189).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyWuhan University of Science and TechnologyWuhanChina
  2. 2.Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial SystemWuhanChina
  3. 3.School of ComputerWuhan UniversityWuhanChina

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