7 citations · 13 across the 12 of their papers we have counts for
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cs.CL2019★ 1 cited
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
Grusha Prasad, Marten van Schijndel, Tal Linzen
Neural language models (LMs) perform well on tasks that require sensitivity to syntactic structure. Drawing on the syntactic priming paradigm from psycholinguistics, we propose a n…
cs.CL2019★ 3 cited
Quantity doesn't buy quality syntax with neural language models
Marten van Schijndel, Aaron Mueller, Tal Linzen
Recurrent neural networks can learn to predict upcoming words remarkably well on average; in syntactically complex contexts, however, they often assign unexpectedly high probabilit…