Paper Info
Title
Use of a Lexical Feature Database for Partial Parsing of Chinese
Abstract
The Grammatical Knowledge base of Contemporary Chinese contains detailed feature descriptions of the morphological and syntactic behavior of a more than fifty thousand Chinese words. We have provided these features to machine learning modules controlling our partial parsers, and achieved significant improvements in performance, at a very modest cost in engineering effort, and under restrictions in the quantity of training data which make it difficult to directly use lexical identities.
Year
Venue
Keywords
2001
NLPRS
machine learning,knowledge base
Field
DocType
Citations 
S-attributed grammar,Computer science,Bottom-up parsing,Speech recognition,Natural language processing,Artificial intelligence,Parsing
Conference
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Elliott Franco Drábek120616.02
Qiang Zhou210717.13