Inducing a Semantically Annotated Lexicon via EM-Based Clustering

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dc.creatorRooth, Mats
dc.creatorRiezler, Stefan
dc.creatorPrescher, Detlef
dc.creatorCarroll, Glenn
dc.creatorBeil, Franz
dc.date1999-05-19
dc.date.accessioned2026-07-07T03:24:06Z
dc.date.available2026-07-07T03:24:06Z
dc.descriptionWe present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation. The models are empirically evalutated by a general decision test. Induction of slot labeling for subcategorization frames is accomplished by a further application of EM, and applied experimentally on frame observations derived from parsing large corpora. We outline an interpretation of the learned representations as theoretical-linguistic decompositional lexical entries.
dc.description8 pages, uses colacl.sty. Proceedings of the 37th Annual Meeting of the ACL, 1999
dc.identifierhttps://arxiv.org/abs/cs/9905008
dc.identifierhttp://arxiv.org/abs/cs/9905008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33198
dc.subjectComputation and Language
dc.subjectArtificial Intelligence
dc.subjectMachine Learning
dc.subjectI.2.6; I.2.7; I.5.3
dc.titleInducing a Semantically Annotated Lexicon via EM-Based Clustering
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