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{ "pk": 26672, "title": "Unsupervised learning of VerbNet argument structure", "subtitle": null, "abstract": "The relationship between a verb and the syntactic frames in which it can appear has been closely studied by psychol-ogists and linguists. Research suggests that the semantics of a verb and its arguments determine the verb’s syntactic frames,but various theories (Levin & Hovav, 2005) disagree on the nature and complexity of these relationships, in part because mostinvestigations have focused on a small subset of verbs that may not generalize. Investigating the semantic and syntactic rela-tionships present in larger sets of verbs would provide more substantial evidence for evaluating and selecting theories of verbargument structure. We report on initial analyses of the 6000+ verbs and 280+ syntactic frames of VerbNet (Kipper et al., 2008),the largest English verb syntax resource available, using nonparametric Bayesian methods (e.g. Shafto et al., 2006) for clusteranalysis and dimensionality reduction.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/22j3x6s6", "frozenauthors": [ { "first_name": "Jesse", "middle_name": "", "last_name": "Mu", "name_suffix": "", "institution": "Boston College", "department": "" }, { "first_name": "Timothy", "middle_name": "", "last_name": "O’Donnell", "name_suffix": "", "institution": "Massachusetts Institute of Technology", "department": "" }, { "first_name": "Joshua", "middle_name": "", "last_name": "Hartshorne", "name_suffix": "", "institution": "Boston College", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T13:00:00-05:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26672/galley/16308/download/" } ] }