Article Instance
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{ "pk": 25994, "title": "Asking useful questions: Active learning with rich queries", "subtitle": null, "abstract": "Recently, both psychology and machine learning have explored the ability of learners to ask questions. However,\nmuch of this work has focused on a single type of question: a “label query”. When making a label query, the learner selects an\nunfamiliar (unlabeled) item and requests a label for it (e.g., ”What is this?”). We hypothesized that people often prefer much\nricher types of questions (e.g., feature queries: “Is this feature relevant?”, demonstration queries: “Can I see an example of a\nladybug?”, etc.). To study this behavior, we had people play a simple game where they generated natural language questions to\ndetermine a hidden configuration of objects. We compute the normative value of these rich questions as measured by modelbased\nanalyses (e.g., information gain). A second experiment evaluates the ability of human observers to judge this value when\nthe demands of question generation are removed.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/7404618f", "frozenauthors": [ { "first_name": "Anselm", "middle_name": "", "last_name": "Rothe", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Brenden", "middle_name": "", "last_name": "Lake", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Todd", "middle_name": "", "last_name": "Gureckis", "name_suffix": "", "institution": "New York University", "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/25994/galley/15618/download/" } ] }