Katherine A. Keith
In my research, I develop machine learning, natural language processing, and information extraction methods in order to better explore and understand socio-political trends in unstructured text data. I am interested in applications under the domain of computational social science, a subfield that uses computational approaches to model, simulate, and analyze social, economic, and political phenomena.
Uncertainty-aware generative models for inferring document class prevalence.
Katherine A. Keith and Brendan O'Connor.
EMNLP 2018. [code] [poster] [bibtex] [software]
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses.
Katherine A. Keith , Su Lin Blodgett, and Brendan O'Connor.
NAACL 2018. [code] [poster] [bibtex]
Identifying civilians killed by police with distantly supervised entity-event extraction.
Katherine A. Keith , Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, and Brendan O’Connor.
EMNLP 2017. [code & data] [slides] [bibtex] [press]
Peer-Reviewed Conference Publications
During the summer of 2018, I worked as a Research Intern with the Data Science group at Bloomberg L.P under Amanda Stent. Su Lin Blodgett, Abe Handler, and I co-designed and co-taught Ethical Issues Surrounding Artificial Intelligence Systems and Big Data, a semester-long first-year computer science seminar at UMass. I was also part of a team that designed and organized a Male Ally Workshop for graduate computer science students.
From 2015 to 2016, I lived in Kinmen, Taiwan on a Fulbright English Teaching Assistantship, and I completed a language immersive study abroad program in Beijing, China during the spring semester 2014.
In my free time, I enjoy trail-running, rock climbing, triathlons, and skiing.
Amherst, Massachusetts, USA
kkeith (at) cs (dot) umass (dot) edu