68 - Neural models of factuality, with Rachel Rudinger

NAACL 2018 paper, by Rachel Rudinger, Aaron Steven White, and
Benjamin Van Durme Rachel comes on to the podcast, telling us about
what factuality is (did an event happen?), what datasets exist for
doing this task (a few; they made a new, bigger one), and how to
build models to predict factuality (turns out a vanilla biLSTM does
quite well). Along the way, we have interesting discussions about
how you decide what an "event" is, how you label factuality
(whether something happened) on inherently uncertain text (like "I
probably failed the test"), and how you might use a system that
predicts factuality in some end task.
https://www.semanticscholar.org/paper/Neural-models-of-factuality-Rudinger-White/4d62a1e7819f9e3f8c837832c66659db5a6d9b37