KDD Shin, H., Dalal, B. R., Bialynicka-Birula, I., Matharu, N., Muir, R., Yang, X., & Wong, S. W. (2025). FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts. In Proceedings of KDD workshop on Evaluation and Trustworthiness of Agentic and Generative AI Models (KDD’25). [paper] [github]
Lecture Shin, H. (2024). Lecture on NLP for Linguistics 101. [slides]
Dissertation Shin, H. (2024). Human and language model experiments in Korean discourse pragmatics. UC San Diego. [dissertation] [defense]
SCiL Shin, H., & Trott, S. (2024). Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology, Society for Computation in Linguistics 7(1), 150–161. [paper]
NAACL Shin, H., & Doyle, G. (2018). Alignment, Acceptance, and Rejection of Group Identities in Online Political Discourse. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop (pp.1-8). [paper] [poster] *Outstanding Student Research Workshop paper award