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{ "pk": 25439, "title": "Learning and Generalizing Cross-Category Relations\nUsing Hierarchical Distributed Representations", "subtitle": null, "abstract": "Recent work has begun to investigate how structured relations\ncan be learned from non-relational and distributed input\nrepresentations. A difficult challenge is to capture the human\nability to evaluate relations between items drawn from distinct\ncategories (e.g., deciding whether a truck is larger than a\nhorse), given that different features may be relevant to\nassessing the relation for different categories. We describe an\nextension of Bayesian Analogy with Relational\nTransformations (BART; Lu, Chen & Holyoak, 2012) that\ncan learn cross-category comparative relations from\nautonomously-generated and distributed input representations.\nBART first learns separate representations of a relation for\ndifferent categories and creates second-order features based\non these category-specific representations. BART then learns\nweights on these second-order features, resulting in a\ncategory-general representation of the relation. This\nhierarchical learning model successfully generalizes the\nrelation to novel pairs of items (including items from different\ncategories), outperforming a flat version of the learning\nmodel.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "relation learning; generalization; distributed\nrepresentations; Bayesian models" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/6mq913zs", "frozenauthors": [ { "first_name": "Dawn", "middle_name": "", "last_name": "Chen", "name_suffix": "", "institution": "Department of Pyschology, UCLA", "department": "" }, { "first_name": "Hongjing", "middle_name": "", "last_name": "Lu", "name_suffix": "", "institution": "Department of Psychology and Department of Statistics, UCLA", "department": "" }, { "first_name": "Keih", "middle_name": "J", "last_name": "Holyoak", "name_suffix": "", "institution": "Department of Pyschology, UCLA", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25439/galley/15063/download/" } ] }