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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
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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
Abstract: Every day teachers must make small improvisational decisions about how to respond to student actions. For students from minoritized groups, these decisions can leave them feeling alienated and stigmatized and thus have fewer opportunities to be successful in schools. Equity mindsets can help educators shift how they respond to students in these moments by changing what educators notice and interpret about student actions. Simulations are one promising vehicle for preparing educators to notice and interpret student actions using equity mindsets.However, text response data from simulations can be time-consuming and challenging for teacher educators and researchers to analyze manually. In this study, we demonstrate how equity simulations can be used to elicit what educators notice and interpret about student actions and how text responses can be analyzed using machine learning techniques such as topic modeling. Using data from a large-scale online course for educators (N = 900), we analyzed language patterns ...
Keyword: Artificial Intelligence and Robotics; Computational Linguistics; Computer Sciences; Education; Educational Assessment, Evaluation, and Research; FOS Languages and literature; Linguistics; Online and Distance Education; Physical Sciences and Mathematics; Social and Behavioral Sciences; Teacher Education and Professional Development
URL: https://osf.io/qgncm/
https://dx.doi.org/10.17605/osf.io/qgncm
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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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