Sciweavers

Share
ACL
2006

A Fast, Accurate Deterministic Parser for Chinese

10 years 5 months ago
A Fast, Accurate Deterministic Parser for Chinese
We present a novel classifier-based deterministic parser for Chinese constituency parsing. Our parser computes parse trees from bottom up in one pass, and uses classifiers to make shift-reduce decisions. Trained and evaluated on the standard training and test sets, our best model (using stacked classifiers) runs in linear time and has labeled precision and recall above 88% using gold-standard part-of-speech tags, surpassing the best published results. Our SVM parser is 2-13 times faster than state-of-the-art parsers, while producing more accurate results. Our Maxent and DTree parsers run at speeds 40-270 times faster than state-of-the-art parsers, but with 5-6% losses in accuracy.
Mengqiu Wang, Kenji Sagae, Teruko Mitamura
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where ACL
Authors Mengqiu Wang, Kenji Sagae, Teruko Mitamura
Comments (0)
books