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        <title>The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation</title>
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        <namePart type="given">Jan-Christoph</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
%A Klie, Jan-Christoph
%A Bugert, Michael
%A Boullosa, Beto
%A Eckart de Castilho, Richard
%A Gurevych, Iryna
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F klie-etal-2018-inception
%X 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.
%U https://aclanthology.org/C18-2002
%P 5-9

Markdown (Informal)

[The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation](https://aclanthology.org/C18-2002) (Klie et al., COLING 2018)

• The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation (Klie et al., COLING 2018)

ACL

• Jan-Christoph Klie, Michael Bugert, Beto Boullosa, Richard Eckart de Castilho, and Iryna Gurevych. 2018. The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 5–9, Santa Fe, New Mexico. Association for Computational Linguistics.