  With the increasing integration of AI into everyday life, it's becoming
crucial to design AI systems that serve users from diverse backgrounds by
making them culturally aware. In this paper, we present GD-COMET, a geo-diverse
version of the COMET commonsense inference model. GD-COMET goes beyond Western
commonsense knowledge and is capable of generating inferences pertaining to a
broad range of cultures. We demonstrate the effectiveness of GD-COMET through a
comprehensive human evaluation across 5 diverse cultures, as well as extrinsic
evaluation on a geo-diverse task. The evaluation shows that GD-COMET captures
and generates culturally nuanced commonsense knowledge, demonstrating its
potential to benefit NLP applications across the board and contribute to making
NLP more inclusive.
