In the context of the heureCLÉA project, CATMA has been extended with another possibility for large-scale annotation. Instead of requiring manual effort for all types of annotations, natural language processing (NLP) is harnessed to generate automatically created annotations for specific tasks. We are continuously adding new automated annotation routines.
References
- Bögel, Thomas; Gertz, Michael; Gius, Evelyn; Jacke, Janina; Meister, Jan Christoph; Petris, Marco; Strötgen, Jannik (2015): “Collaborative Text Annotation Meets Machine Learning: heureCLÉA, a Digital Heuristic of Narrative.” In: Ryan Cordel, Isabel Galina, Laurent Romary (eds.): DHCommons journal. Issue 1, July 2015. http://dhcommons.org/journal/issue-1/collaborative-text-annotation-meets-machine-learning-heurecl%C3%A9-digital-heuristic [25.10.2015]
