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The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation

Klie, Jan-Christoph and Bugert, Michael and Boullosa, Beto and Eckart de Castilho, Richard and Gurevych, Iryna :
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation.
[Online-Edition: http://aclweb.org/anthology/C18-2002]
In: The 27th International Conference on Computational Linguistics (COLING 2018), 20.08.2018--26.08.2018, Santa Fe, USA. Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations Association for Computational Linguistics
[Conference or Workshop Item] , (2018)

Official URL: http://aclweb.org/anthology/C18-2002

Abstract

We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., 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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Klie, Jan-Christoph and Bugert, Michael and Boullosa, Beto and Eckart de Castilho, Richard and Gurevych, Iryna
Title: The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
Language: English
Abstract:

We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., 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.

Title of Book: Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Publisher: Association for Computational Linguistics
Uncontrolled Keywords: UKP_p_INCEpTION;UKP_a_LangTech4eHum;UKP_reviewed
Divisions: Department of Computer Science
Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Title: The 27th International Conference on Computational Linguistics (COLING 2018)
Event Location: Santa Fe, USA
Event Dates: 20.08.2018--26.08.2018
Date Deposited: 31 Jul 2018 09:03
Official URL: http://aclweb.org/anthology/C18-2002
Related URLs:
Projects: UKP_p_INCEpTION
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