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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?
Research article (Sociological Science, 2023) · cited 17× · AI/ML
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?
Summary
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? is a scholarly article[1].
Key Facts
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?'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). 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?. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-to-uncover-the-semantics-of-concepts-how-well-do-typicality-measures-extracted-from-a-bert-text-c
MLA“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?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-to-uncover-the-semantics-of-concepts-how-well-do-typicality-measures-extracted-from-a-bert-text-c.
BibTeX@misc{4ortxyz_using-machine-learning-to-uncover-the-semantics-of-concepts-how-well-do-typicality-measures-extracted-from-a-bert-text-c_2026, author = {{4ort.xyz Knowledge Graph}}, 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?}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-uncover-the-semantics-of-concepts-how-well-do-typicality-measures-extracted-from-a-bert-text-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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? — https://4ort.xyz/entity/using-machine-learning-to-uncover-the-semantics-of-concepts-how-well-do-typicality-measures-extracted-from-a-bert-text-c (retrieved 2026-05-24)