I obtained my Ph.D. in the Language Technologies Institute
of the School of Computer Science at Carnegie Mellon University,
working with my fantastic advisor, Eduard Hovy.
I interned at Facebook AI, Allen Institute for AI (AI2), and Microsoft Research.
My Ph.D. study has been supported by Allen Institute for AI (AI2) Fellowship, CMU Presidential Fellowship, and ILJU Graduate Fellowship.
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Taehee Jung*, Dongyeop Kang*, Lucas Mentch and Eduard Hovy (*equal contribution)
EMNLP 2019 (Long) [pdf | arxiv | data+leaderboard | code | bib]
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau and Jason Weston
EMNLP 2019 (Long) [pdf| arxiv | [data] | bib]
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas
Dongyeop Kang, Varun Gangal and Eduard Hovy
EMNLP 2019 (Long, Oral) [pdf| arxiv | data+code | slides | bib]
A Dataset of Peer Reviews (PeerReaD): Collection, Insights and NLP Applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz
NAACL 2018 (Long) [pdf | arxiv | data+code | bib]
Last updated in May 2020