SWAN: an easy-to-use web-based annotation system

Timo Gühring; Nicklas Linz; Rafael Theis; Annemarie Friedrich

In: Stefanie Dipper (Hrsg.). Proceedings of the 13th Conference on Natural Language Processing (KONVENS). Konferenz zur Verarbeitung natürlicher Sprache (KONVENS-16), September 19-22, Bochum, Germany, ISBN 2190-0949, Bochumer Linguistische Arbeitsberichte, 2016.


We present the Saar Web ANnotation system (SWAN), a lean web-based annotation system, which is optimized for annotator and project management usability.1 SWAN is well-suited for various discourse annotation tasks, as arbitrarily large documents can be annotated seamlessly due to dynamic loading and rendering. A graphbased visualization box supports the user by providing both an overview of the existing annotations and a navigation option through the text. The admin view includes the web-based configuration of projects, annotation schemes and users. SWAN is based on JEE technology and compatible with several web browsers.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence