3 papers
cs.CL2022
An Item Response Theory Framework for Persuasion
Anastassia Kornilova, Daniel Argyle, Vladimir Eidelman
In this paper, we apply Item Response Theory, popular in education and political science research, to the analysis of argument persuasiveness in language. We empirically evaluate t…
cs.CL2018
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
Vlad Eidelman, Anastassia Kornilova, Daniel Argyle
Modeling U.S. Congressional legislation and roll-call votes has received significant attention in previous literature. However, while legislators across 50 state governments and D.…
cs.CL2018
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction
Anastassia Kornilova, Daniel Argyle, Vlad Eidelman
Predicting how Congressional legislators will vote is important for understanding their past and future behavior. However, previous work on roll-call prediction has been limited to…