Shexia He

Master Candidate of Computer Science

Supervisor: Hai Zhao


Email:
heshexia@sjtu.edu.cn

Address

Department of Computer Science,
800 Dongchuan Road,
Shanghai Jiao Tong University,
200240, China


  Research Interest


  • Natural Language Processing

  • Machine Learning

  Publications


  • Syntax for Semantic Role Labeling, to Be, or Not to Be. [paper] [code]
    Shexia He, Zuchao Li, Hai Zhao, Hongxiao Bai, Gongshen Liu. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, July 15-20, 2018.

  • A Unified Syntax-aware Framework for Semantic Role Labeling. [paper] [code]
    Shexia He*, Zuchao Li, Jiaxun Cai, Zhuosheng Zhang and Hai Zhao, Gongshen Liu, Linlin Li, Luo Si. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium, October 31-November 4, 2018. (*: equal contribution)

  • Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing. [paper] [code]
    Shexia He*, Zuchao Li, Zhuosheng Zhang, Hai Zhao. The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2018), Brussels, Belgium, October 31-November 1, 2018. (*: equal contribution)

  • A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware? [paper] [code]
    Jiaxun Cai, Shexia He, Zuchao Li and Hai Zhao. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA, August 20-26, 2018.

  • Seq2seq Dependency Parsing. [paper] [code]
    Zuchao Li, Jiaxun Cai, Shexia He and Hai Zhao. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA, August 20-26, 2018.


  Education Background


-- Bachelor in Software Engineering, University of Electronic Science and Technology of China, Sep. 2013 - Jun. 2017

-- Master in Computer Science, Shanghai Jiao Tong University, Sep. 2017 - Current



  Links


· Shanghai Jiao Tong University
· Center for Brain-Like Computing and Machine Intelligence
· Department of Computer Science&Engineering