2 code implementations • EMNLP 2020 • Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, Jennifer Chu-Carroll
As a step toward AI systems that can build similar mental models, we introduce GLUCOSE, a large-scale dataset of implicit commonsense causal knowledge, encoded as causal mini-theories about the world, each grounded in a narrative context.
1 code implementation • 21 Oct 2020 • Aditya Kalyanpur, Or Biran, Tom Breloff, Jennifer Chu-Carroll, Ariel Diertani, Owen Rambow, Mark Sammons
Frame semantic parsing is a complex problem which includes multiple underlying subtasks.
no code implementations • ACL 2020 • Jesse Dunietz, Gregory Burnham, Akash Bharadwaj, Owen Rambow, Jennifer Chu-Carroll, David Ferrucci
Many tasks aim to measure machine reading comprehension (MRC), often focusing on question types presumed to be difficult.
no code implementations • 12 Feb 2024 • Jennifer Chu-Carroll, Andrew Beck, Greg Burnham, David OS Melville, David Nachman, A. Erdem Özcan, David Ferrucci
Since the advent of Large Language Models a few years ago, they have often been considered the de facto solution for many AI problems.