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1
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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2
Are neural language models sensitive to false belief? A computational study. ...
Trott, Sean. - : Open Science Framework, 2022
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3
Similarity between person roles in a card sorting experiment ...
Maldonado, Mora. - : Open Science Framework, 2022
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4
Statistical detection of format dialects using the weighted Dowker complex ...
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5
Clustering and compatibility-based approach for large-scale group decision making with hesitant fuzzy linguistic preference relations: An application in e-waste recycling ...
Yuanyuan Zhou. - : Code Ocean, 2022
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6
Identifying the preschool home learning experiences that predict early number skills: Evidence from a longitudinal study ...
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7
Computing Entailments Online, ver. 5 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2022
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8
Computing Entailments Online, ver. 6 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2022
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9
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
Abstract: In a previous pre-registration (https://osf.io/agqwv), we asked whether GPT-3, a neural language model, showed sensitivity to implied belief states. We found that it did: in a false belief task paradigm, GPT-3 assigned significantly different probability estimates to different search locations as a function of a character's belief states. In other words, GPT-3 was "sensitive" to false belief information, in the sense that its predictions about upcoming words/locations changed according to previous language in the passage that indicated whether the character knew or didn't know about an object's location change. The goal of the present work is to ask whether, and to what extent, human behavior on this task is explained by GPT-3's output, as opposed to the key experimental manipulation of Condition. The theoretical motivation for this work is to test the hypothesis that human behavior on the false belief task requires some sort of *additional* cognitive resource or information source that cannot be obtained ...
Keyword: Artificial Intelligence and Robotics; Cognitive Psychology; Computational Linguistics; Computer Sciences; false belief; FOS Languages and literature; FOS Psychology; Linguistics; neural language model; Physical Sciences and Mathematics; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences
URL: https://osf.io/zp6q8/
https://dx.doi.org/10.17605/osf.io/zp6q8
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10
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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11
Fibrational linguistics I: first concepts ...
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12
Elastic Full Procrustes Analysis of Plane Curves via Hermitian Covariance Smoothing ...
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13
Formal Metatheory of Second-Order Abstract Syntax ...
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14
An enriched category theory of language: from syntax to semantics ...
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15
Complexity of optimizing over the integers ...
Basu, Amitabh. - : arXiv, 2021
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16
Composable constraints ...
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17
Boolean proportions ...
Antić, Christian. - : arXiv, 2021
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18
Development of language and the use of musical engagement as a stress coping mechanism during the COVID-19 pandemic ...
Lab, UNLV. - : Open Science Framework, 2021
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19
Grammar Equations ...
Coecke, Bob; Wang, Vincent. - : arXiv, 2021
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20
Measuring Equity Mindsets and Improvisational Practices Through Language Patterns in Equity Simulations ...
Littenberg-Tobias, Joshua. - : Open Science Framework, 2021
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