{"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":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28779/galley/18650/download/"}]}