2 papers
cs.CL2020
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
Daniel Furrer, Marc van Zee, Nathan Scales +1
While mainstream machine learning methods are known to have limited ability to compositionally generalize, new architectures and techniques continue to be proposed to address this…
cs.LG2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales +11
State-of-the-art machine learning methods exhibit limited compositional generalization. At the same time, there is a lack of realistic benchmarks that comprehensively measure this…