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Hang Jiang

Graduate Student
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Groups
Publication

AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism

William Brannon, Doug Beeferman, Hang Jiang, Andrew Heyward, & Deb Roy (2024). AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism. In Proceedings of CSCW. URL: https://arxiv.org/abs/2407.12613

Publication

CommunityLM: Probing Partisan Worldviews from Language Models

Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.

Publication

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

Hua, Yining*, Hang Jiang*, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, and Li Zhou. "Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications." Journal of the American Medical Informatics Association (2022). *Equal Contribution.

Publication

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

Jiang, Hang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, and Alexander Gray. "LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking." ACL (2021).