I am an assistant professor in the Department of Computer Science at the Univeristy of Texas at Dallas. My research interests are in natural language processing, specifically in the areas of summarization, paraphrasing, and style transfer.

I received my PhD from Columbia University in 2019, advised by Professor Kathleen McKeown. My dissertation was about adapting automatic summarization to new sources of information; here is a talk I gave at Johns Hopkins about my dissertation work.

My CV is here.

Prospective/Incoming Students: If you are interested in working with me, I do not accept research students until after they have taken a course with me. The courses I teach are listed below.



Jessica Ouyang and Kathleen McKeown. Neural network alignment for sentential paraphrases. In Proceedings of ACL 2019. pdf

Jessica Ouyang, Boya Song, and Kathleen McKeown. A robust abstractive system for cross-lingual summarization. In Proceedings of NAACL-HLT 2019. pdf

Helen Cheung, Sarah Grzebinski, Charles Sanky, Jessica Ouyang, and Stephen Krieger. Why do medical students choose to become neurologists? A computational linguistics analysis of residency personal statements. In AAN 2019.

Jessica Ouyang, Serina Chang, and Kathleen McKeown. Crowd-sourced iterative annotation for narrative summarization corpora. In Proceedings of EACL 2017. pdf

Jessica Ouyang and Kathleen McKeown. Modeling reportable events as turning points in narrative. In Proceedings of EMNLP 2015. Notable Dataset Award. pdf

Jessica Ouyang and Kathleen McKeown. Towards automatic detection of narrative structure. In Proceedings of LREC 2014. pdf


Fall 2020

CS 6320 Natural Language Processing

Spring 2020

CS 7301 Advanced Natural Language Processing

Past Courses

Fall 2019: CS 6320 Natural Language Processing
Fall 2016, Spring 2017: COMS W3203 Discrete Mathematics (Columbia University)



Reviewer, ACM Transactions on Asian and Low-Resource Language Information Processing

Program Committee, AAAI, ACL, CONLL, EMNLP, SDM, *SEM