4 papers · 1 filter
Using existing systems to supplement small amounts of annotated grammatical relations training data
Alexander Yeh
Grammatical relationships (GRs) form an important level of natural language processing, but different sets of GRs are useful for different purposes. Therefore, one may often only h…
More accurate tests for the statistical significance of result differences
Alexander Yeh
Statistical significance testing of differences in values of metrics like recall, precision and balanced F-score is a necessary part of empirical natural language processing. Unfor…
Comparing two trainable grammatical relations finders
Alexander Yeh
Grammatical relationships (GRs) form an important level of natural language processing, but different sets of GRs are useful for different purposes. Therefore, one may often only h…
Learning Transformation Rules to Find Grammatical Relations
Lisa Ferro, Marc Vilain, Alexander Yeh
Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequences and er…