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?

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?

Social scientists have long been interested in understanding the extent to which the typicalities of an object in concepts relate to its valuations by social actors. Answering this question has proven to be challenging because precise measurement requires a feature-based description of objects. Yet,...

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Bibliographic Details
Main Authors: Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros
Format: Article
Language:English
Published: Society for Sociological Science 2023-03-01
Series:Sociological Science
Subjects:
categories
concepts
deep learning
typicality
bert
transformer models
Online Access:https://sociologicalscience.com/articles-v10-3-82/

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