108 citations · 162 across the 11 of their papers we have counts for
3 papers · 1 filter
Meta Answering for Machine Reading
Benjamin Borschinger, Jordan Boyd-Graber, Christian Buck +7
We investigate a framework for machine reading, inspired by real world information-seeking problems, where a meta question answering system interacts with a black box environment.…
What Question Answering can Learn from Trivia Nerds
Jordan Boyd-Graber, Benjamin Börschinger
In addition to the traditional task of getting machines to answer questions, a major research question in question answering is to create interesting, challenging questions that ca…
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…