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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)
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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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Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
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11
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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12
Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference
In: PLoS (2021)
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13
Assessing Language Proficiency from Eye Movements in Reading
In: Association for Computational Linguistics (2021)
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14
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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15
Language Learning and Processing in People and Machines
In: Association for Computational Linguistics (2021)
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16
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
In: Wiley (2021)
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17
A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ...
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18
A Rate–Distortion view of human pragmatic reasoning
In: Proceedings of the Society for Computation in Linguistics (2021)
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19
Towards a Referential Theory of Ellipsis
Poppels, Till. - : eScholarship, University of California, 2020
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20
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ...
Abstract: Gender stereotypes influence subjective beliefs about the world, and this is reflected in our use of language. But do gender biases in language transparently reflect subjective beliefs? Or is the process of translating thought to language itself biased? During the 2016 United States ( N = 24,863) and 2017 United Kingdom ( N = 2,609) electoral campaigns, we compared participants’ beliefs about the gender of the next head of government with their use and interpretation of pronouns referring to the next head of government. In the United States, even when the female candidate was expected to win, she pronouns were rarely produced and induced substantial comprehension disruption. In the United Kingdom, where the incumbent female candidate was heavily favored, she pronouns were preferred in production but yielded no comprehension advantage. These and other findings suggest that the language system itself is a source of implicit biases above and beyond previously known biases, such as those measured by the Implicit ...
Keyword: 110319 Psychiatry incl. Psychotherapy; 110904 Neurology and Neuromuscular Diseases; 170199 Psychology not elsewhere classified; FOS Clinical medicine; FOS Psychology; Neuroscience
URL: https://dx.doi.org/10.25384/sage.c.4810950
https://sage.figshare.com/collections/Implicit_Gender_Bias_in_Linguistic_Descriptions_for_Expected_Events_The_Cases_of_the_2016_United_States_and_2017_United_Kingdom_Elections/4810950
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