Jessica Ouyang (Columbia University) “Adapting Automatic Summarization to New Sources of Information”

March 11, 2019 @ 12:00 pm – 1:15 pm
Hackerman Hall B17
3400 N. Charles Street


English-language news articles are no longer necessarily the best source of information. The Web allows information to spread more quickly and travel farther: first-person accounts of breaking news events pop up on social media, and foreign-language news articles are accessible to, if not immediately understandable by, English-speaking users. In this talk, I will give an overview of my dissertation work on adapting automatic summarization techniques to handle these new sources of information, focusing on summarizing online narratives of personal experience and cross-lingual summarization for low-resource languages, and suggest some further summarization and text generation tasks to explore.


I am a final-year PhD candidate and NSF IGERT Fellow in the Natural Language Processing Group at Columbia University, supervised by Prof. Kathy McKeown. My research is in automatic summarization of non-traditional genres, such as blog entries, recorded conversations, and non-English documents, and I am generally interested in how summarization and related natural language technologies affect the accessibility of information.

Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2680

Center for Language and Speech Processing