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{ "pk": 29408, "title": "Probing Neural Language Models for Human Tacit Assumptions", "subtitle": null, "abstract": "Humans carry stereotypic tacit assumptions (STAs) (Prince,1978), or propositional beliefs about generic concepts. Suchassociations are crucial for understanding natural language.We construct a diagnostic set of word prediction prompts toevaluate whether recent neural contextualized language mod-els trained on large text corpora capture STAs. Our promptsare based on human responses in a psychological study of con-ceptual associations. We find models to be profoundly effec-tive at retrieving concepts given associated properties. Our re-sults demonstrate empirical evidence that stereotypic concep-tual representations are captured in neural models derived fromsemi-supervised linguistic exposure.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "language models; deep neural networks; conceptrepresentations; norms; semantics" } ], "section": "Neural Networks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/95d5n9s0", "frozenauthors": [ { "first_name": "Nathaniel", "middle_name": "", "last_name": "Weir", "name_suffix": "", "institution": "Johns Hopkins University", "department": "" }, { "first_name": "Adam", "middle_name": "", "last_name": "Poliak", "name_suffix": "", "institution": "Johns Hopkins University", "department": "" }, { "first_name": "Benjamin", "middle_name": "Van", "last_name": "Durme", "name_suffix": "", "institution": "Johns Hopkins University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2020-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29408/galley/19268/download/" } ] }