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20162021
most citedWhat Syntactic Structures block Dependencies in RNN Language Models?

14 citations · 34 across the 8 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018

Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games

Judy Hanwen Shen, Matthias Hofer, Bjarke Felbo +1

Simple reference games are of central theoretical and empirical importance in the study of situated language use. Although language provides rich, compositional truth-conditional s…

cs.CL2018

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…

cs.CL2018

Word learning and the acquisition of syntactic--semantic overhypotheses

Jon Gauthier, Roger Levy, Joshua B. Tenenbaum

Children learning their first language face multiple problems of induction: how to learn the meanings of words, and how to build meaningful phrases from those words according to sy…

cs.CL2018

Assessing Language Proficiency from Eye Movements in Reading

Yevgeni Berzak, Boris Katz, Roger Levy

We present a novel approach for determining learners' second language proficiency which utilizes behavioral traces of eye movements during reading. Our approach provides stand-alon…