Selecting Decomposable Models for Word-Sense Disambiguation: The Grling-Sdm System.
This paper describes the grling-sdm system, which is a supervised probabilistic classifier that participated in the 1998 SENSEVAL competition for word-sense disambiguation. This system uses model search to select decomposable probability models describing the dependencies among the feature variables...
| Publicado en: | Computers & the Humanities Vol. 34; no. 1/2; pp. 159 - 165 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Apr2000
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=16898914&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 16898914 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00104817 CHM jtl: Computers & the Humanities issn: 00104817 maglogo: N pubinfo: dt: Apr2000 vid: 34 iid: 1/2 pid: 237 pub: Springer Nature artinfo: ui: 16898914 10.1023/A:1002439708427 ppf: 159 ppct: 6 formats: fmt: @attributes: type: P size: 41KB tig: atl: Selecting Decomposable Models for Word-Sense Disambiguation: The Grling-Sdm System. aug: au: O'Hara, Tom Wiebe, Janyce Bruce, Rebecca affil: Department of Computer Science and Computing Research Laboratory, New Mexico State University, Las Cruces, NM 88003-0001, USA Department of Computer Science, University of North Carolina, Asheville, Asheville, NC 28804-3299, USA su: Ambiguity Semantics Language & languages Computational linguistics Comparative grammar sug: subj: Ambiguity Semantics Language & languages Computational linguistics Comparative grammar ab: This paper describes the grling-sdm system, which is a supervised probabilistic classifier that participated in the 1998 SENSEVAL competition for word-sense disambiguation. This system uses model search to select decomposable probability models describing the dependencies among the feature variables. These types of models have been found to be advantageous in terms of efficiency and representational power. Performance on the SENSEVAL evaluation data is discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Computers & the Humanities is a copyright of Springer, 2000. All Rights Reserved. item: Computers & the Humanities holder: Springer Nature dt: @attributes: year: 2000 holdings: @attributes: islocal: N |
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