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{ "pk": 28779, "title": "Novel categories are distinct from “Not”-categories", "subtitle": null, "abstract": "The categorization literature often considers two types of cat-egories as equivalent: (a) standard categories and (b) negationcategories. For example, category learning studies typicallyconflate learning categories A and B with learning categoriesA and NOT A. This study represents the first attempt at de-lineating these two separate types of generated categories. Wespecifically test for differences in the distributional structure ofgenerated categories, demonstrating that categories identifiedas not what was known are larger and wider-spread comparedto categories that were identified with a specific label. We alsoobserve consistency in distributional structure across multiplegenerated categories, replicating and extending previous find-ings. These results are discussed in the context of providing afoundation for future modeling work.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "categorization; category generation; contrast; cat-egory learning;" } ], "section": "Papers with Poster Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/64n5z73q", "frozenauthors": [ { "first_name": "Shi", "middle_name": "Xian", "last_name": "Liew", "name_suffix": "", "institution": "University of Wisconsin - Madison", "department": "" }, { "first_name": "Joseph", "middle_name": "L.", "last_name": "Austerweil", "name_suffix": "", "institution": "University of Wisconsin - Madison", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2019-01-02T00:00:00+06:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28779/galley/18650/download/" } ] }