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).

• Type: Journal
• Year: 1999
• Where: CORR
• Authors: Lisa Ferro, Marc B. Vilain, Alexander S. Yeh
• Keywords: Core Syntax Groups, CORR 1999, Education, Grammatical Relationships, Natural Language Processing