  In this paper, we give an overview of commonsense reasoning in natural
language processing, which requires a deeper understanding of the contexts and
usually involves inference over implicit external knowledge. We first review
some popular commonsense knowledge bases and commonsense reasoning benchmarks,
but give more emphasis on the methodologies, including recent approaches that
aim at solving some general natural language problems that take advantage of
external knowledge bases. Finally, we discuss some future directions in pushing
the boundary of commonsense reasoning in natural language processing.

Computation and Language