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Combining shallow and deep processing for a robust, fast, deep-linguistic dependency parser


Schneider, G (2004). Combining shallow and deep processing for a robust, fast, deep-linguistic dependency parser. In: European Summer School in Logic, Language and Information ESSLLI 2004, Nancy, France, 2004 - 2004, 41-50.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:2004
Deposited On:06 Aug 2009 12:01
Last Modified:05 Apr 2016 13:15
Permanent URL: https://doi.org/10.5167/uzh-19119

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