Learning Transformation Rules to Find Grammatical Relations

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Jun 14, 1999
Lisa Ferro, Marc Vilain, Alexander Yeh

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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).

* Computational Natural Language Learning (CoNLL-99), pages 43-52, June, 1999. Bergen, Norway  * 10 pages. Uses latex-acl.sty and named.sty  
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