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.
@article{arxiv.cs/0010020,
title = {Using existing systems to supplement small amounts of annotated grammatical relations training data},
author = {Alexander Yeh},
journal= {arXiv preprint arXiv:cs/0010020},
year = {2007}
}