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20182023
most citedOn the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

110 citations · 242 across the 15 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

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…