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1
Dependency locality as an explanatory principle for word order
In: Prof. Levy (2022)
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2
A Systematic Assessment of Syntactic Generalization in Neural Language Models
In: Association for Computational Linguistics (2021)
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3
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
In: Association for Computational Linguistics (2021)
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4
Cognitive Science Honors the Memory of Jeffrey Elman
In: MIT Press (2021)
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5
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
In: Association for Computational Linguistics (2021)
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6
Neural language models as psycholinguistic subjects: Representations of syntactic state
In: Association for Computational Linguistics (2021)
Abstract: We investigate the extent to which the behavior of neural network language models reflects incremental representations of syntactic state. To do so, we employ experimental methodologies which were originally developed in the field of psycholinguistics to study syntactic representation in the human mind. We examine neural network model behavior on sets of artificial sentences containing a variety of syntactically complex structures. These sentences not only test whether the networks have a representation of syntactic state, they also reveal the specific lexical cues that networks use to update these states. We test four models: Two publicly available LSTM sequence models of English (Jozefowicz et al., 2016; Gulordava et al., 2018) trained on large datasets; an RNN Grammar (Dyer et al., 2016) trained on a small, parsed dataset; and an LSTM trained on the same small corpus as the RNNG. We find evidence for basic syntactic state representations in all models, but only the models trained on large datasets are sensitive to subtle lexical cues signalling changes in syntactic state.
URL: https://hdl.handle.net/1721.1/130543
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7
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
In: Association for Computational Linguistics (2021)
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8
Maze Made Easy: Better and easier measurement of incremental processing difficulty
In: Other repository (2021)
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9
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
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10
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
In: Prof. Fedorenko (2021)
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11
Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference
In: PLoS (2021)
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12
Assessing Language Proficiency from Eye Movements in Reading
In: Association for Computational Linguistics (2021)
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13
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections
In: Sage (2021)
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14
Language Learning and Processing in People and Machines
In: Association for Computational Linguistics (2021)
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15
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
In: Wiley (2021)
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16
A Rate–Distortion view of human pragmatic reasoning
In: Proceedings of the Society for Computation in Linguistics (2021)
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17
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ...
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18
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ...
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19
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections
In: Psychol Sci (2020)
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20
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
Futrell, Richard; Gibson, Edward; Levy, Roger P.. - : John Wiley and Sons Inc., 2020
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