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I am generally interested in semantic representations. My thesis work explores how we can use explicit semantic representations at intermediate stages of a neural pipeline. In the past, I have worked on the Columbia SAFE Lab's gang violence prevention project as well as on analyzing therapeutic conversation.
Narutatsu Ri, Fei-Tzin Lee, Nakul Verma. Contrastive Loss is All You Need to Recover Analogies as Parallel Lines (accepted to Repl4NLP 2023).
Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen McKeown. Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation.
Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen McKeown. An analysis of document graph construction methods for AMR summarization (preprint).
Desmond Patton, William Frey, Kyle McGregor, Fei-Tzin Lee, Kathleen McKeown, Emanuel Moss. Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing.
Fei-Tzin Lee, Derrick Hull, Jacob Levine, Bonnie Ray, and Kathleen McKeown. Identifying therapist conversational actions across diverse psychotherapeutic approaches.
Philipp Blandfort, Desmond Patton, William Frey, Svebor Karaman, Surabhi Bhargava, Fei-Tzin Lee, Siddharth Varia, Chris Kedzie, Michael Gaskell, Rossano Schifanella, Kathleen McKeown, and Shih-Fu Chang. Multimodal Social Media Analysis for Gang Violence Prevention.
Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William Frey, Chris Kedzie, and Kathleen McKeown. Detecting Gang-Involved Escalation on Social Media Using Context.