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Learning Transformational Rules to Find Grammatical Relations

Lisa Ferro, lferro@mitre.org
Marc Vilain, mbv@mitre.org
Alexander Yeh, asy@mitre.org

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).

Postscript supplied by author: http://xxx.lanl.gov/ps/cs/9906015


This is the abstract of a paper presented at the CoNLL-99 workshop.
Last update: May 22, 2000. erikt@uia.ua.ac.be