Using WordNet to Posit Hierarchical Structure in Levin's Verb Classes

dc.contributor.authorOlsen, Mari Bromanen_US
dc.contributor.authorDorr, Bonnie J.en_US
dc.contributor.authorClark, David J.en_US
dc.date.accessioned2004-05-31T22:49:11Z
dc.date.available2004-05-31T22:49:11Z
dc.date.created1997-12en_US
dc.date.issued1998-10-15en_US
dc.description.abstractIn this paper we report on experiments using WordNet synset tags to evaluate the semantic properties of the verb classes cataloged by Levin 1993. This paper represents ongoing research begun at the University of Pennsylvania (Rosenzweig et al. 1997, Palmer et al. 1997) and the University of Maryland (Dorr and Jones 1996b, 1996d, 1996e). Using WordNet sense tags to constrain the intersection of Levin classes, we avoid spurious class intersections introduced by homonymy and polysemy (_run a bath, run a mile_). By adding class intersections based on a single shared sense-tagged word, we minimize the impact of the non-exhaustiveness of Levin's database (Dorr and Olsen 1996, Dorr to appear). By examining the syntactic properties of the intersective classes, we provide a clearer picture of the relationship between WordNet/EuroWordNet and the LCS interlingua for machine translation and other NLP applications. Also cross-referenced as UMIACS-TR-97-85 Also cross-referenced as LAMP-TR-011en_US
dc.format.extent128559 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/930
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3857en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-97-85en_US
dc.relation.ispartofseriesLAMP-TR-011en_US
dc.titleUsing WordNet to Posit Hierarchical Structure in Levin's Verb Classesen_US
dc.typeTechnical Reporten_US

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