Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?
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| Title: | Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality? |
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| Authors: | Le Mens, Gaël1,2,3 gael.le-mens@upf.edu, Kovács, Balázs4 balazs.kovacs@yale.edu, Hannan, Michael T.5 hannan@stanford.edu, Pros, Guillem1 guillem.pros@upf.edu |
| Source: | Sociological Science. Mar2023, Vol. 10, p82-117. 36p. |
| Database: | Sociology Source Ultimate |
| ISSN: | 23306696 |
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| DOI: | 10.15195/v10.a3 |
