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The Fill-Mask Association Test (FMAT): Measuring Propositions in Natural Language

2024-04-12

Abstract excerpt

<p>Recent advances in large language models are enabling the computational intelligent analysis of psychology in natural language. Here, the Fill-Mask Association Test (FMAT) is introduced as a novel and integrative method leveraging Masked Language Models to study and measure psychology from a propositional perspective at the societal level. The FMAT uses BERT models to compute semantic probabilities of option wo...

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Literature Corpus work: 076705c7-a2f1-55ab-8e31-bf800486c311
DOI: 10.31234/osf.io/bgsxr

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