3 papers
cs.CL2025
Where did you get that? Towards Summarization Attribution for Analysts
Violet B, John M. Conroy, Sean Lynch +4
Analysts require attribution, as nothing can be reported without knowing the source of the information. In this paper, we will focus on automatic methods for attribution, linking e…
cs.CL2023
Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness
David Demeter, Oshin Agarwal, Simon Ben Igeri +4
Academic literature does not give much guidance on how to build the best possible customer-facing summarization system from existing research components. Here we present analyses t…
cs.LG2023
Two to Five Truths in Non-Negative Matrix Factorization
John M. Conroy, Neil P Molino, Brian Baughman +3
In this paper, we explore the role of matrix scaling on a matrix of counts when building a topic model using non-negative matrix factorization. We present a scaling inspired by the…