Jessica Ouyang

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, connotation, and computational narrative.

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.

Gerardo Ocampo Diaz and Jessica Ouyang. An alignment-based approach to text segmentation similarity scoring. To appear in CONLL 2022.

Xiangci Li, Biswadip Mandal, and Jessica Ouyang. CORWA: A citation-oriented related work annotation dataset. NAACL 2022. pdf

Pooneh Mousavi and Jessica Ouyang. Detecting hashtag hijacking for hashtag activism. In NLP4PI 2021. pdf

Sarah Grzebinski, Helen Cheung, Charles Sanky, Jessica Ouyang, and Stephen Krieger. Educational research: Why medical students choose neurology. In Neurology, Issue 97. pdf

Soumya Sourav and Jessica Ouyang. Lightweight models for multimodal sequential data. In WASSA 2021. Best Paper Award. pdf

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

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

Spring 2022

CS 2305 Discrete Mathematics I

Past Courses
Spring 2021: CS 2305 Discrete Mathematics for Computing I
Fall 2019--2021: CS 6320 Natural Language Processing
Spring 2020: CS 7301 Advanced Natural Language Processing
Fall 2016, Spring 2017: COMS W3203 Discrete Mathematics (Columbia University)

Reviewer, ACM Transactions on Asian and Low-Resource Language Information Processing, ACM Transactions on Interactive Intelligent Systems, Computational Linguistics, Data Mining and Knowledge Discovery, IEEE Transactions on Affective Computing

Program Committee, AAAI, AACL, ACL, CONLL, EACL, EMNLP, NAACL, SDM, *SEM

Area Chair, EMNLP, ARR