A compact architecture for dialogue management based on scripts and meta-outputs
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
TDL: a type description language for constraint-based grammars
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A stochastic topological parser for German
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A common framework for syntactic annotation
ACL '01 Proceedings of the 39th 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
XML-based NLP tools for analysing and annotating medical language
NLPXML '02 Proceedings of the 2nd workshop on NLP and XML - Volume 17
The XML framework and its implications for the development of natural language processing tools
Proceedings of the COLING-2000 Workshop on Using Toolsets and Architectures To Build NLP Systems
Evolving GATE to meet new challenges in language engineering
Natural Language Engineering
Integrated shallow and deep parsing: TopP meets HPSG
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
SDL: a description language for building NLP systems
SEALTS '03 Proceedings of the HLT-NAACL 2003 workshop on Software engineering and architecture of language technology systems - Volume 8
Middleware for creating and combining multi-dimensional NLP markup
NLPXML '06 Proceedings of the 5th Workshop on NLP and XML: Multi-Dimensional Markup in Natural Language Processing
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The idea of the Whiteboard project is to integrate deep and shallow natural language processing components in order to benefit from their synergy. The project came up with the first fully integrated hybrid system consisting of a fast HPSG parser that utilizes tokenization, PoS, morphology, lexical, named entity, phrase chunk and (for German) topological sentence field analyses from shallow components. This integration increases robustness, directs the search space and hence reduces processing time of the deep parser. In this paper, we focus on one of the central integration facilities, the XSLT-based Whiteboard Annotation Transformer (WHAT), report on the benefits of XSLT-based NLP component integration, and present examples of XSL transformation of shallow and deep annotations used in the integrated architecture. The infrastructure is open, portable and well suited for, but not restricted to the development of hybrid NLP architectures as well as NLP applications.