This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research disciplines. This allows us to complete textual information with external sources and facilitates reasoning. The semantic layer can integrate any linguistic information and is compatible with previous event representations in NLP. Through a use case on earthquakes in Southeast Asia, we demonstrate GAF flexibility and ability to reason over events with the aid of extra-linguistic resources.
Fokkens, A., Van Erp, M., Vossen, P., Tonelli, S., Van Hage, W. R., Serafini, L., Sprugnoli, R., Hoeksema, J., GAF: A Grounded Annotation Framework for Events, Paper, in Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (Atlanta, Georgia, 14-13 June 2013), Association for Computational Linguistics, N/A 2013: 11-20 [http://hdl.handle.net/10807/133004]
GAF: A Grounded Annotation Framework for Events
Sprugnoli, Rachele;
2013
Abstract
This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research disciplines. This allows us to complete textual information with external sources and facilitates reasoning. The semantic layer can integrate any linguistic information and is compatible with previous event representations in NLP. Through a use case on earthquakes in Southeast Asia, we demonstrate GAF flexibility and ability to reason over events with the aid of extra-linguistic resources.
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