1 code implementation • COLING 2018 • Lori Moon, Christos Christodoulopoulos, Cynthia Fisher, S. Franco, ra, Dan Roth
Inter-annotator agreement is given separately for prepositions and verbs, and for adult speech and child speech.
no code implementations • 20 Oct 2020 • Clifton McFate, Aditya Kalyanpur, Dave Ferrucci, Andrea Bradshaw, Ariel Diertani, David Melville, Lori Moon
In Natural Language (NL) applications, there is often a mismatch between what the NL interface is capable of interpreting and what a lay user knows how to express.
no code implementations • LILT 2016 • Lori Moon, Patricija Kirvaitis, Noreen Madden
The results show that human annotators have fairly good agreement on some of the categories, such as whether or not a use is epistemic, but poor agreement on others.
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.