Authors
Jan-Christoph Klie, Michael Bugert, Beto Boullosa, Richard Eckart de Castilho, Iryna Gurevych
Publication date
2018
Description
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (eg, concept linking, fact linking, knowledge base population, semantic frame annotation). These tasks are very time consuming and demanding for annotators, especially when knowledge bases are used. We address these issues by developing an annotation platform that incorporates machine learning capabilities which actively assist and guide annotators. The platform is both generic and modular. It targets a range of research domains in need of semantic annotation, such as digital humanities, bioinformatics, or linguistics. INCEpTION is publicly available as open-source software.
Total citations
2018201920202021202220232024314345711610484
Scholar articles
JC Klie, M Bugert, B Boullosa, RE De Castilho… - Proceedings of the 27th international conference on …, 2018