{"pk":25826,"title":"A Domain-Independent Model of Open-World Reference Resolution","subtitle":null,"abstract":"The ability to ground conversational referents is a key requirement\nfor human dialogue. This process, known as reference\nresolution, has received much attention from both psycholinguists\nseeking to understand how humans process language\nand computer scientists seeking to improve the performance\nof language-capable agents. However, the majority of previous\nresearch has focused on what we term closed-world reference\nresolution, in which the set of possible referents is assumed\nto be known a priori. In this paper we present a domainindependent\nmodel of open-world reference resolution which\nappropriately handles uncertain knowledge, and the results of\nan empirical human-subject experiment conducted to verify\nthe model’s predictions.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Computational Modeling"},{"word":"natural language understanding"},{"word":"reference resolution"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6f17r533","frozenauthors":[{"first_name":"Tome","middle_name":"","last_name":"Williams","name_suffix":"","institution":"Tufts University","department":""},{"first_name":"Mathew","middle_name":"","last_name":"Scheutz","name_suffix":"","institution":"Tufts 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/25826/galley/15450/download/"}]}