Chao Zhao (赵 超)

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Bio

I received my Ph.D. in Computer Science at the University of North Carolina at Chapel Hill, under the supervision of Prof. Snigdha Chaturvedi. My research focuses on text summarization, natural language generation, and narrative understanding.

I obtained my Master's degree in Computer Science from the University of California Santa Cruz and another Master's degree in Computer Technology from Harbin Institute of Technology. I completed my Bachelor's degree in Flight Vehicle Design and Engineering at the School of Astronautics, Harbin Institute of Technology.

Publications

[Google Scholar]

Anneliese Brei, Chao Zhao, Snigdha Chaturvedi. Returning to the Start: Generating Narratives with Related Endpoints In 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics. June 2024. [Code]

Chao Zhao, Anvesh Vijjini, Snigdha Chaturvedi. PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading In Findings of the Association for Computational Linguistics: EMNLP 2023. Dec 2023.

Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur. "What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge In 24th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). Sep 2023. [Data]

Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi. NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization In Findings of the Association for Computational Linguistics: EMNLP 2022. Dec 2022. [Data]

Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi. Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach In Findings of the Association for Computational Linguistics: NAACL 2022. July 2022. [Code]

Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen McKeown, Snigdha Chaturvedi. Read Top News First: A Document Reordering Approach for Multi-Document News Summarization In Findings of the Association for Computational Linguistics: ACL 2022. May 2022. [Code]

Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen. Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension In 60th annual meeting of the Association for Computational Linguistics. May 2022. [Data]

Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi. Unsupervised Extractive Opinion Summarization Using Sparse Coding. In 60th annual meeting of the Association for Computational Linguistics. May 2022. [Code]

Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi. Let Your Characters Tell Their Story: A Dataset for Character-Centric Narrative Understanding. In Findings of the Association for Computational Linguistics: EMNLP 2021. Nov 2021. [Data] [Code]

Chao Zhao, Marilyn Walker, Snigdha Chaturvedi. Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. In ACL 2020 The 58th annual meeting of the Association for Computational Linguistics. July 2020. [Code]

Chao Zhao, Snigdha Chaturvedi. Weakly-Supervised Opinion Summarization by Leveraging External Information. In AAAI 2020 The Thirty-Fourth AAAI Conference on Artificial Intelligence. Feb 2020. [Code] [Poster]

Chao Zhao, Jingchi Jiang, Yi Guan, Xitong Guo and Bin He. EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. In Artificial Intelligence in Medicine, 87 (2018): 49-59.

Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, and Qiubin Yu. Max-Margin Weight Learning for Medical Knowledge Network. In Computer Methods and Programs in Biomedicine, 156 (2018): 179-190.

Chao Zhao, Min Zhao, and Yi Guan. Constructing a Hierarchical User Interest Structure based on User Profiles. In 2017 IEEE 17th International Conference on Data Mining Workshops (ICDMW). pages 156–162, Nov 2017.

Zhipeng Jiang*, Chao Zhao*, Bin He, Yi Guan, and Jingchi Jiang. De-identification of medical records using conditional random fields and long short-term memory networks. In Journal of Biomedical Informatics, S75 (2017): S43-S53, co-first author

Jingchi Jiang, Xueli Li, Chao Zhao, Yi Guan, and Qiubin Yu. Learning and inference in knowledge-based probabilistic model for medical diagnosis. In Knowledge-Based Systems, 138 (2017): 58-68.

Chao Zhao, Jingchi Jiang, Zhiming Xu, and Yi Guan. A study of EMR-based medical knowledge network and its applications. In Computer Methods and Programs in Biomedicine 143 (2017): 13-23.

Jingchi Jiang, Jichuan Zheng, Chao Zhao, Jia Su, Yi Guan, and Qiubin Yu. Clinical-decision support based on medical literature: A complex network approach. In Physica A: Statistical Mechanics and its Applications 459 (2016): 42-54.

Last Updated: April 2024