Using existing systems to supplement small amounts of annotated grammatical relations training data

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dc.creatorYeh, Alexander
dc.date2000-10-11
dc.date.accessioned2026-07-07T03:16:37Z
dc.date.available2026-07-07T03:16:37Z
dc.descriptionGrammatical relationships (GRs) form an important level of natural language processing, but different sets of GRs are useful for different purposes. Therefore, one may often only have time to obtain a small training corpus with the desired GR annotations. To boost the performance from using such a small training corpus on a transformation rule learner, we use existing systems that find related types of annotations.
dc.description7 pages, uses acl2000.sty
dc.identifierhttps://arxiv.org/abs/cs/0010020
dc.identifierhttp://arxiv.org/abs/cs/0010020
dc.identifier38th Annual Meeting of the Association for Computational Linguistics (ACL-2000), pages 126-132, Hong Kong, October, 2000
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30423
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleUsing existing systems to supplement small amounts of annotated grammatical relations training data
dc.typetext

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