2 citations · 3 across the 2 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2019★ 1 cited
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
David Gaddy, Dan Klein
We consider the problem of learning to map from natural language instructions to state transitions (actions) in a data-efficient manner. Our method takes inspiration from the idea…
cs.CL2018
What's Going On in Neural Constituency Parsers? An Analysis
David Gaddy, Mitchell Stern, Dan Klein
A number of differences have emerged between modern and classic approaches to constituency parsing in recent years, with structural components like grammars and feature-rich lexico…