Combining Shallow and Deep Processing for a Robust, Fast, D...

Combining Shallow and Deep Processing for a Robust, Fast, Deep-Linguistic Dependency Parser

inproceedings
Gerold Schneider
This paper describes Pro3Gres, a fast, robust, broad-coverage parser that delivers deep-linguistic grammatical relation structures as output, which are closer to predicate-argument structures and more informative than pure constituency structures. The parser stays as shallow as is possible for each task, combining shallow and deep-linguistic methods by integrating chunking and by expressing the majority of long-distance dependencies in a context-free way. It combines statistical and rule-based approaches, different linguistic grammar theories and different linguistic resources. Preliminary evaluations indicate that the parser’s performance is state-of-the-art.
Combining Shallow and Deep Processing for a Robust, Fast, Deep-Linguistic Dependency Parser
2004
41-50
Nancy, France
Proc. of the European Summer School in Logic, Language and Information ESSLLI 2004
cl