55 citations · 63 across the 3 of their papers we have counts for
3 papers
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
Dmitry Tsarkov, Tibor Tihon, Nathan Scales +3
We present *-CFQ ("star-CFQ"): a suite of large-scale datasets of varying scope based on the CFQ semantic parsing benchmark, designed for principled investigation of the scalabilit…
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…
Syntactic vs. Semantic Locality: How Good Is a Cheap Approximation?
Chiara Del Vescovo, Pavel Klinov, Bijan Parsia +3
Extracting a subset of a given OWL ontology that captures all the ontology's knowledge about a specified set of terms is a well-understood task. This task can be based, for instanc…