About

 

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.

Publications

 

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

Teaching

 
Fall 2019

CS6320 Natural Language Processing

Past Courses

Fall 2016, Spring 2017: COMS W3203 Discrete Mathematics (Columbia University)

Service

 

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

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