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Recognizing Macro Chinese Discourse Structure on Label Degeneracy Combination Model

  • Feng Jiang
  • Peifeng LiEmail author
  • Xiaomin Chu
  • Qiaoming Zhu
  • Guodong Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11109)

Abstract

Discourse structure analysis is an important task in Natural Language Processing (NLP) and it is helpful to many NLP tasks, such as automatic summarization and information extraction. However, there are only a few researches on Chinese macro discourse structure analysis due to the lack of annotated corpora. In this paper, combining structure recognition with nuclearity recognition, we propose a Label Degeneracy Combination Model (LD-CM) to find the solution of structure recognition in the solution space of nuclearity recognition. Experimental results on the Macro Chinese Discourse TreeBank (MCDTB) show that our model improves the accuracy by 1.21%, compared with the baseline system.

Keywords

Label degeneracy Combination model Macro discourse structure 

Notes

Acknowledgments

The authors would like to thank three anonymous reviewers for their comments on this paper. This research was supported by the National Natural Science Foundation of China under Grant Nos. 61772354, 61773276 and 61472265, and was also supported by the Strategic Pioneer Research Projects of Defense Science and Technology under Grant No. 17-ZLXDXX-02-06-02-04.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Feng Jiang
    • 1
  • Peifeng Li
    • 1
    Email author
  • Xiaomin Chu
    • 1
  • Qiaoming Zhu
    • 1
  • Guodong Zhou
    • 1
  1. 1.School of Computer Science and TechnologySoochow UniversitySuzhouChina

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