3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 3 cited
Attribution Analysis of Grammatical Dependencies in LSTMs
Yiding Hao
LSTM language models have been shown to capture syntax-sensitive grammatical dependencies such as subject-verb agreement with a high degree of accuracy (Linzen et al., 2016, inter…
cs.CL2019
Action-Sensitive Phonological Dependencies
Yiding Hao, Dustin Bowers
This paper defines a subregular class of functions called the tier-based synchronized strictly local (TSSL) functions. These functions are similar to the the tier-based input-outpu…
cs.CL2019
Finding Syntactic Representations in Neural Stacks
William Merrill, Lenny Khazan, Noah Amsel +3
Neural network architectures have been augmented with differentiable stacks in order to introduce a bias toward learning hierarchy-sensitive regularities. It has, however, proven d…