Yizhong Wang

Yizhong Wang

PhD student
Paul G. Allen School of Computer Science & Engineering
University of Washington, Seattle, WA

Email: yizhongw [at] cs.washington.edu

Short Bio

I am a seond-year PhD student at the University of Washington, where I am very fortunate to be co-advised by Hannaneh Hajishirzi and Noah Smith. Prior to UW, I completed my Master's degree at Peking University and Bachelor's degree at Shanghai Jiao Tong University.

I am broadly interested in natural language processing and machine learning problems. My research goal is to make machines understand language and reason with the knowledge present in the textual world. Currently, I evaluate this goal mainly by various types of question answering tasks.

News

  • Dec. 1, 2020
    • Our paper on plain language summarization of medical reviews was accepted to AAAI 2021!
  • Nov. 1, 2020
    • Our LiveQA paper was elected as CCL 2020 best paper. Congrats to Qianying and Sicong!
  • Sep. 15, 2020
    • Our paper on dataset analysis was accepted to EMNLP 2020!
  • March. 1, 2020
    • I will co-organize the ACL 2020 Student Research Workshop [Website].
  • Sep. 5, 2019
    • I arrived in Seattle and started my PhD journey at UW.
  • Aug. 13, 2019
    • Our paper on numeracy probing was accepted to EMNLP 2019!
  • July. 4, 2019
    • I graduated from Peking University! Thanks for my advisor Sujian Li and all my labmates. Farewell!

    Publications [Google Scholar]

    Automated Lay Language Summarization of Biomedical Scientific Reviews

    Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021)
    Paper coming soon!
    LiveQA: A Question Answering Dataset over Sports Live (Best Paper Award)

    Qianying Liu, Sicong Jiang, Yizhong Wang, Sujian Li

    19th Chinese National Conference on Computational Linguistics (CCL 2020)
    Paper Code Data
    Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

    Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith and Yejin Choi

    2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
    Paper Code
    Do Neural NLP Models Know Numbers? Probing Numeracy in Embeddings

    Eric Wallace*, Yizhong Wang*, Sujian Li, Sameer Singh and Matt Gardner

    2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
    Paper Code
    DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

    Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh and Matt Gardner

    2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)
    Paper Code Demo Site
    Toward Fast and Accurate Neural Discourse Segmentation

    Yizhong Wang, Sujian Li and Jingfeng Yang

    2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
    Paper Code Slides
    Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

    Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li and Haifeng Wang.

    The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    Paper Slides
    Bag-of-Words as Target for Neural Machine Translation

    Shuming Ma, Xu Sun, Yizhong Wang and Junyang Lin.

    The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018)
    Paper Code
    DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

    Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang.

    ArXiv Preprint:1711.05073
    Paper Data Code Site
    Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.

    Yizhong Wang and Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang.

    The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).
    Paper Code Slides
    A Two-Stage Parsing Method for Text-level Discourse Analysis. (Outstanding Paper Award)

    Yizhong Wang, Sujian Li and Houfeng Wang.

    The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)
    Paper Code Slides
    Towards Non-projective High-Order Dependency Parser.

    Wenjing Fang, Kenny Q. Zhu, Yizhong Wang and Jia Tan.

    The 26th International Conference on Computational Linguistics (COLING 2016).
    Paper Code

    * indicates equal contribution.