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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
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
Wei, Megan. - : Open Science Framework, 2022
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4
Similarity between person roles in a card sorting experiment ...
Maldonado, Mora. - : Open Science Framework, 2022
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5
Computing Entailments Online, ver. 5 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2022
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6
Computing Entailments Online, ver. 6 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2022
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7
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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8
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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9
Measuring Semantic Similarity of Documents by Using Named Entity Recognition Methods
Muñoz Morales, David Efraín. - : Technological University Dublin, 2022
In: Masters (2022)
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10
Realistic motion avatars are the future for social interaction in virtual reality
In: Research outputs 2022 to 2026 (2022)
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11
Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse
In: Research outputs 2014 to 2021 (2022)
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12
Pharyngeal Constriction as a Cause for Late Acquisition and Speech Sound Disorders of Rhotic Sounds in English, Spanish, and French
In: The Downtown Review (2021)
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13
Composable constraints ...
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14
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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15
Statistical dictionary development ...
Buljan, Ivan. - : Open Science Framework, 2021
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16
Measuring Equity Mindsets and Improvisational Practices Through Language Patterns in Equity Simulations ...
Littenberg-Tobias, Joshua. - : Open Science Framework, 2021
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17
A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms
In: Research outputs 2014 to 2021 (2021)
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18
Early and Late Implication of Subcortical Brain Structures in Speech Motor Sequence Learning: a Pre-registered fMRI Study ...
Todorovic, Snezana. - : Open Science Framework, 2021
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19
Computing Entailments Online, ver. 4 ...
Dąbkowski, Maksymilian. - : Open Science Framework, 2021
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20
Transient Chaos in BERT ...
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