2 papers
cs.HC2026
Stepping into the Margins: How Readers Want AI to Generate Footnotes
Piper Vasicek, Courtni Byun, Kevin Seppi
Footnotes can be powerful tools to aid understanding, providing information that augments the reading experience. However, static footnotes cannot address every reader question. Cu…
cs.IR2019
Automatic Evaluation of Local Topic Quality
Jeffrey Lund, Piper Armstrong, Wilson Fearn +4
Topic models are typically evaluated with respect to the global topic distributions that they generate, using metrics such as coherence, but without regard to local (token-level) t…