Neural Character-level Dependency Parsing for Chinese

Authors

  • Haonan Li Shanghai Jiao Tong University
  • Zhisong Zhang Shanghai Jiao Tong University
  • Yuqi Ju Shanghai Jiao Tong University
  • Hai Zhao Shanghai Jiao Tong University

Keywords:

parsing, neural network, character based

Abstract

This paper presents a truly full character-level neural dependency parser together with a newly released character-level dependency treebank for Chinese, which has suffered a lot from the dilemma of defining word or not to model character interactions. Integrating full character-level dependencies with character embedding and human annotated character-level part-of-speech and dependency labels for the first time, we show an extra performance enhancement from the evaluation on Chinese Penn Treebank and SJTU (Shanghai Jiao Tong University) Chinese Character Dependency Treebank and the potential of better understanding deeper structure of Chinese sentences.

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Published

2018-04-27

How to Cite

Li, H., Zhang, Z., Ju, Y., & Zhao, H. (2018). Neural Character-level Dependency Parsing for Chinese. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/12002