An annotation type system for a data-driven NLP pipeline

Authors:
Udo Hahn;Ekaterina Buyko;Katrin Tomanek;Scott Piao;John McNaught;Yoshimasa Tsuruoka;Sophia Ananiadou
Affiliations:
Jena University Language & Information Engineering (JULIE), Jena, Germany;Jena University Language & Information Engineering (JULIE), Jena, Germany;Jena University Language & Information Engineering (JULIE), Jena, Germany;University of Manchester;University of Manchester;University of Manchester;University of Manchester
Venue:
LAW '07 Proceedings of the Linguistic Annotation Workshop
Year:
2007

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Abstract

We introduce an annotation type system for a data-driven NLP core system. The specifications cover formal document structure and document meta information, as well as the linguistic levels of morphology, syntax and semantics. The type system is embedded in the framework of the Unstructured Information Management Architecture (UIMA).