APA (7th ed.) Citation

Le Mens, G., Kovács, B., Hannan, M. T., & Pros, G. (2023). 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? Sociological Science, 10, 82. https://doi.org/10.15195/v10.a3

Chicago Style (17th ed.) Citation

Le Mens, Gaël, Balázs Kovács, Michael T. Hannan, and Guillem Pros. "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?" Sociological Science 10 (2023): 82. https://doi.org/10.15195/v10.a3.

MLA (9th ed.) Citation

Le Mens, Gaël, et al. "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?" Sociological Science, vol. 10, 2023, p. 82, https://doi.org/10.15195/v10.a3.