40 citations · 100 across the 20 of their papers we have counts for
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cs.CL2018★ 2 cited
Do RNNs learn human-like abstract word order preferences?
Richard Futrell, Roger P. Levy
RNN language models have achieved state-of-the-art results on various tasks, but what exactly they are representing about syntax is as yet unclear. Here we investigate whether RNN…
cs.CL2018★ 40 cited
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Richard Futrell, Ethan Wilcox, Takashi Morita +1
Recurrent neural networks (RNNs) are the state of the art in sequence modeling for natural language. However, it remains poorly understood what grammatical characteristics of natur…
cs.CL2018
What do RNN Language Models Learn about Filler-Gap Dependencies?
Ethan Wilcox, Roger Levy, Takashi Morita +1
RNN language models have achieved state-of-the-art perplexity results and have proven useful in a suite of NLP tasks, but it is as yet unclear what syntactic generalizations they l…