Alice Oh


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

About

Hello, I am an associate professor of computer science at KAIST. 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.

Education

Selected Publications (Google Scholar)

  1. Dongkwan Kim and Alice Oh. How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision. ICLR 2021.
  2. Sungjoon Park, Kiwoong Park, Jaimeen Ahn, and Alice Oh. Suicidal Risk Detection for Military Personnel. EMNLP 2020.
  3. Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, and Alice Oh. Context-Aware Answer Extraction in Question Answering. EMNLP 2020.
  4. Sungjoon Park, Donghyun Kim, and Alice Oh. Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues. NAACL 2019.
  5. Jooyeon Kim, Dongkwan Kim, and Alice Oh. Homogeneity-Based Transmissive Process To Model True and False News in Social Networks. WSDM 2019.
  6. Yeon Seonwoo, Sungjoon Park, and Alice Oh. Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain. EMNLP 2018.

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