GD-COMET: A Geo-Diverse Commonsense Inference Model
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-23-2023
- Country:
- North America
- Dominican Republic (0.05)
- United States
- Washington > King County
- Seattle (0.04)
- New York > New York County
- New York City (0.04)
- Washington > King County
- Canada
- Ontario > Toronto (0.04)
- British Columbia (0.04)
- Europe
- Italy (0.04)
- Ireland > Leinster
- County Dublin > Dublin (0.04)
- Croatia > Dubrovnik-Neretva County
- Dubrovnik (0.04)
- Asia
- India (0.05)
- East Asia (0.05)
- South Korea (0.04)
- Indonesia (0.04)
- Thailand (0.04)
- China > Hong Kong (0.04)
- Middle East
- Iran (0.04)
- UAE > Abu Dhabi Emirate
- Abu Dhabi (0.04)
- Africa
- Nigeria (0.05)
- Middle East > Somalia (0.04)
- East Africa (0.04)
- North America
- Genre:
- Research Report (0.40)
- Technology: