Dongyeop Kang (DK) @ UC Berkeley

dongyeopk@berkeley.edu

I am a postdoc at University of California, Berkeley working with Marti A. Hearst, and a part of Berkeley AI Research (BAIR). Before joining Berkeley, I obtained my Ph.D. in the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University, under Eduard Hovy. I interned at Facebook AI, Allen Institute for AI (AI2), and Microsoft Research.

I will be joining the CSE department at University of Minnesota - Twin Cities as an assistant professor in 2021 Fall. Feel free to contact me if you like to work with me. You can find details about my research in my research statement or recent publication.

I'm interested in developing human-centric language technologies. My research is focused on developing linguistically informed NLP models and building interactive NLP systems. My approach to address the NLP problems lies at the intersection of computational linguistics (CL) as a theoretical basis, machine learning (ML) as a powerful technical tool, and human-computer interaction (HCI) as a robust interactive testbed.

Research Topics

Discourse modeling and planning
Linguistic styles and pragmatics
Neural-symbolic representation and reasoning
Interactive and collaborative NLP systems
Ethics and biases

News (read more)

(new) (Fall 2020) Talks at SNU Summer AI school, Grammarly AI, and Naver Labs Europe .

(new) (July 2021) I am co-organizing a workshop "CtrlGen: Controllable Generative Modeling in Language and Vision" at NeurIPS 2021.
(new) (July 2021) Our zero-shot language based video localization paper is accepted to ICCV 2021.
(May 2021) Our cross-style language understanding (xSLUE) paper is accepted to ACL 2021.
(Apr 2021) I will be joining Minnesota CSE as an assistant professor in 2021 Fall.
(Mar 2021) Talks at KAIST AI, Minnesota CSE, Rochester CS, and Wisconsin CS.
(Dec 2020) Our ScholarPhi paper is accepted to CHI 2021.
(Nov 2020) Talks at KAIST AI Colloquium and GIST EECS Colloquium.
(Sep 2020) Two main papers (self-supervised text planning, sociable dialogue generation) and two workshop papers (document-level definition detection, augmentation for generation) are accepted to EMNLP 2020.
(Aug 2020) Talk at Berkeley AI Research (BAIR) Workshop.
(Aug 2020) Talks at CMU LTI Summer Seminar and POSTECH AI Seminar.
(Jun 2020) Joined UC Berkeley as a postdoctoral scholar, working with Marti A. Hearst.
(May 2020) Passed my Ph.D thesis defense. Check out my thesis!
(Mar 2020) Our poterior calibrated training paper is accepted to ACL 2020.

Publication ( Selected | By Date | By Topic | Google Scholar )

Talks

Talk at Naver Labs Europe , 2021 Fall

Talk at Grammarly AI, 2021 Fall
Talk at SNU Summer AI school, 2021 Fall
Talk at University of Wisconsin - Madison, CS Department, 2021 March
Talk at University of Rochester, CS Department, 2021 March
Talk at University of Minnesota - Twin Cities, CSE Colloquium, 2021 March
Talk at KAIST, AI Department, 2021 Feb
Talk at KAIST AI Colloquium, 2020 Fall
Talk at GIST EECS Colloquium, 2020 Fall
Talk at Berkeley AI Research (BAIR) Workshop, 2020 Summer
Talk at CMU LTI Seminar, 2020 Summer
Talk at POSTECH AI Seminar, 2020 Summer

Last updated in July 2021