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?
Includes data, material, and analysis code for all analyses.
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/56063 |
| Acceso en línea: | http://hdl.handle.net/10230/56063 http://dx.doi.org/10.15195/v10.a3 |
| Access Level: | acceso abierto |
| Palabra clave: | Categories Concepts Deep learning Typicality BERT Transformer models |
| Sumario: | Includes data, material, and analysis code for all analyses. |
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