The Fill-Mask Association Test ('FMAT') tools:::Rd_expr_doi("10.1037/pspa0000396") is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' tools:::Rd_expr_doi("10.48550/arXiv.1810.04805") and its variants available at 'Hugging Face' https://huggingface.co/models?pipeline_tag=fill-mask. Methodological references and installation guidance are provided at https://psychbruce.github.io/FMAT/.
Maintainer: Han Wu Shuang Bao baohws@foxmail.com (ORCID)
Useful links: