Article

Transformer Networks of Human Conceptual Knowledge

2020-11-13

Abstract excerpt

<p>We present a computational model capable of simulating aspects of human knowledge for thousands of real-world concepts. Our approach involves fine-tuning a transformer network for natural language understanding on participant-generated feature norms. We show that such a model can successfully extrapolate from its training dataset, and predict human knowledge for novel concepts and features. We also apply our mo...

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Literature Corpus work: 826b6b03-75a1-5821-b2a0-fc49b9a3106f
DOI: 10.31234/osf.io/hs4ra

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