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

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Grammatical 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.
7 pages, uses acl2000.sty

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Computation and Language, I.2.7

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http://salesiana.dossiersoluciones.com/handle/123456789/30423

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0010020
 http://arxiv.org/abs/cs/0010020
 38th Annual Meeting of the Association for Computational Linguistics (ACL-2000), pages 126-132, Hong Kong, October, 2000

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arXiv