Using existing systems to supplement small amounts of annotated grammatical relations training data
<|reference_start|>Using existing systems to supplement small amounts of annotated grammatical relations training data: 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.<|reference_end|>
@article{yeh2000using,
    title={Using existing systems to supplement small amounts of annotated
  grammatical relations training data},
    author={Alexander Yeh},
    journal={38th Annual Meeting of the Association for Computational
  Linguistics (ACL-2000), pages 126-132, Hong Kong, October, 2000},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0010020},
    primaryClass={cs.CL}
}