Alice Oh

alice.oh (at)
School of Computing, KAIST
Director, MARS AI Research Center
Google Scholar


Hello, I am a professor at KAIST in the School of Computing with joint appointment in the Graduate School of AI. My research interests are in developing and applying machine learning models for natural language processing. In our research group, we look at various data such as news, social media, Wikipedia, and programming education.


Recent Publications (Google Scholar)

  1. Jaimeen Ahn and Alice Oh. Mitigating Language-Dependent Ethnic Bias in BERT. EMNLP 2021.
  2. Jiseon Kim, Elden Griggs, In Song Kim and Alice Oh. Learning Bill Similarity with Annotated and Augmented Corpora of Bills. EMNLP 2021.
  3. Sungjoon Park, Jiseon Kim, Seonghyeon Ye, Jaeyeol Jeon, Hee Young Park and Alice Oh. Dimensional Emotion Detection from Categorical Emotions. EMNLP 2021.
  4. Seonghyeon Ye, Jiseon Kim and Alice Oh. Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning. EMNLP 2021.
  5. Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed and Eduard Hovy. Knowledge-Enhanced Evidence Retrieval for Counterargument Generation. EMNLP-Findings 2021.
  6. Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, and Alice Oh. Weakly Supervised Pre-Training for Multi-Hop Retriever. ACL-Findings 2021.
  7. Jeongmin Byeon, Jungkook Park, and Alice Oh. Cocode: Providing Social Presence with Co-learner Screen Sharing in Online Programming Classes. CSCW 2021.
  8. Dongkwan Kim and Alice Oh. How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision. ICLR 2021.
  9. Sungjoon Park, Kiwoong Park, Jaimeen Ahn, and Alice Oh. Suicidal Risk Detection for Military Personnel. EMNLP 2020.
  10. Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, and Alice Oh. Context-Aware Answer Extraction in Question Answering. EMNLP 2020.

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