An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition

@inproceedings{Kang2016AnEC,
  title={An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition},
  author={Xiaomian Kang and Haoran Li and Long Zhou and Jiajun Zhang and Chengqing Zong},
  booktitle={CoNLL Shared Task},
  year={2016}
}
This paper describes our end-to-end discourse parser in the CoNLL-2016 Shared Task on Chinese Shallow Discourse Parsing. To adapt to the characteristics of Chinese, we implement a uniform framework for both explicit and non-explicit relation parsing. In this framework, we are the first to utilize a seed-expansion approach for the argument extraction subtask. In the official evaluation, our system achieves an F1 score of 26.90% in overall performance on the blind test set. 

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Key Quantitative Results

  • In the official evaluation, our system achieves an F1 score of 26.90% in overall performance on the blind test set.

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