324 citations · 908 across the 10 of their papers we have counts for
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cs.LG2020★ 2 cited
*-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…
cs.CL2020★ 74 cited
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…