Artificial Intelligence - Special volume on empirical methods
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Structural disambiguation with constraint propagation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Robust German noun chunking with a probabilistic context-free grammar
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
An integrated architecture for shallow and deep processing
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Integrated shallow and deep parsing: TopP meets HPSG
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Guiding a constraint dependency parser with supertags
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Constraint-based RMRS construction from shallow grammars
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Constraint-based Modeling and Ambiguity
International Journal of Artificial Intelligence in Education
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Towards effective sentence simplification for automatic processing of biomedical text
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Hi-index | 0.00 |
To investigate the contributions of taggers or chunkers to the performance of a deep syntactic parser, Weighted Constraint Dependency Grammars have been extended to also take into consideration information from external sources. Using a weak information fusion scheme based on constraint optimization techniques, a parsing accuracy has been achieved which is comparable to other (stochastic) parsers.