95 - Common sense reasoning, with Yejin Choi

In this episode, we invite Yejin Choi to talk about common sense
knowledge and reasoning, a growing area in NLP. We start by
discussing a working definition of “common sense” and the practical
utility of studying it. We then talk about some of the datasets and
resources focused on studying different aspects of common sense
(e.g., ReCoRD, CommonsenseQA, ATOMIC) and contrast implicit vs.
explicit modeling of common sense, and what it means for downstream
applications. To conclude, Yejin shares her thoughts on some of the
open problems in this area and where it is headed in the future.
Yejin Choi’s homepage: https://homes.cs.washington.edu/~yejin/
ATOMIC: https://homes.cs.washington.edu/~msap/atomic/ ReCoRD:
https://sheng-z.github.io/ReCoRD-explorer/ CommonsenseQA:
https://www.tau-nlp.org/commonsenseqa