Learning Transformation Rules to Find Grammatical Relations

Details Learning Transformation Rules to Find Grammatical Relations Learning Transformation Rules to Find Grammatical Relations

1999-06-14

arxiv.org/abs/cs/9906015v1

Computational Natural Language Learning (CoNLL-99), pages 43-52, June, 1999. Bergen, Norway

Computer Science

Computation and Language

10 pages. Uses latex-acl.sty and named.sty

Scientific paper

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).

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