30 citations · 95 across the 9 of their papers we have counts for
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cs.CL2021
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
Sequence-to-sequence learning with neural networks has become the de facto standard for sequence prediction tasks. This approach typically models the local distribution over the ne…
cs.CL2021★ 1 cited
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Matteo Alleman, Jonathan Mamou, Miguel A Del Rio +3
While vector-based language representations from pretrained language models have set a new standard for many NLP tasks, there is not yet a complete accounting of their inner workin…