51 citations · 57 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
BillSum: A Corpus for Automatic Summarization of US Legislation
Anastassia Kornilova, Vlad Eidelman
Automatic summarization methods have been studied on a variety of domains, including news and scientific articles. Yet, legislation has not previously been considered for this task…
Argument Identification in Public Comments from eRulemaking
Vlad Eidelman, Brian Grom
Administrative agencies in the United States receive millions of comments each year concerning proposed agency actions during the eRulemaking process. These comments represent a di…
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.…
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…