publication . Conference object . Other literature type . 2004

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

Gerold Schneider;
  • Published: 01 Jan 2004
  • Country: Switzerland
Abstract
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 parsers performance is state-of-the-art.
Subjects
ACM Computing Classification System: TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
free text keywords: Institute of Computational Linguistics, 000 Computer science, knowledge & systems, 410 Linguistics
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publication . Conference object . Other literature type . 2004

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

Gerold Schneider;