Learning Transformation Rules to Find Grammatical Relations
<|reference_start|>Learning Transformation Rules to Find Grammatical Relations: Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequences and error-driven learning. Our approach finds grammatical relationships between core syntax groups and bypasses much of the parsing phase. On our training and test set, our procedure achieves 63.6% recall and 77.3% precision (f-score = 69.8).<|reference_end|>
@article{ferro1999learning,
    title={Learning Transformation Rules to Find Grammatical Relations},
    author={Lisa Ferro, Marc Vilain and Alexander Yeh},
    journal={Computational Natural Language Learning (CoNLL-99), pages 43-52,
  June, 1999. Bergen, Norway},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9906015},
    primaryClass={cs.CL}
}