What's New

[Aug 2021] One paper accepted at EMNLP 2021!

[Nov 2020]   Attended EMNLP 2020 (virtual)

[Nov 2019]   Travel to Hong Kong, China - EMNLP 2019

[Aug 2019] Our paper "An Entity-Driven Framework for Abstractive Summarization" is accepted at EMNLP 2019!

[July 2019]   Travel to Florence, Italy - ACL 2019

[May 2019] Our paper "Argument Generation with Retrieval, Planning, and Realization" is accepted at ACL 2019!


Biography

I am a senior research engineer at Baidu Inc. I received my Master Degree in Computer Engineering from Northeastern University. I was a member of Northeastern NLP Group and worked with Prof. Lu Wang (now at UMich) on text generation and abstractive summarization.


Research Interests

I'm generally interested in natural language processing. My goal is to design methods that can understand human languages from large-scale data of various domains, and also generate rich and coherent outputs of high quality and controllability. Recently, I'm working on topics including:

  • style-controlled dialogue generation and long-form text generation;
  • coherent and high-quality summary extraction and generation;
  • natural language inference and textual semantic similarity modeling;

Experience


Publications

  • Context-Aware Interaction Network for Question Matching
  • Zhe Hu, Zuohui Fu, Yu Yin, Gerard de Melo
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021, To Appear.
    arXiv Poster Slides Abstract
  • Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
  • Zhe Hu*, Zhiwei Cao*, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu
    [*equal contribution]
    In arXiv, 2021
    arXiv Abstract
  • Enhanced Sentence Alignment Network for Efficient Short Text Matching
  • Zhe Hu, Zuohui Fu, Cheng Peng, Weiwei Wang
    In Proceedings of EMNLP 2020 Workshop on Noisy User-generated Text (EMNLP Workshop), short paper, 2020.
    PDF Slides Abstract
  • An Entity-Driven Framework for Abstractive Summarization
  • Eva Sharma*, Luyang Huang*, Zhe Hu*, Lu Wang
    [*equal contribution]
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
    Errata: Equation (9) in section 2.3 should be: \(L(S_A,S_B^+, S_B^-) = \max \{0, 1 + Coh(S_A, S_B^-) - Coh(S_A, S_B^+)\} \)
    arXiv Poster Code Demo Abstract
  • Argument Generation with Retrieval, Planning, and Realization
  • Xinyu Hua, Zhe Hu, Lu Wang
    In Proceedings of the Association for Computational Linguistics (ACL), 2019.
    arXiv Code Demo Abstract

Education


Services

  • EMNLP 2021, ACL 2021, EMNLP 2020, ACL 2020, EMNLP 2019 NewSum workshop