INCEpTION is provided as open source under the Apache License v2.0. Even mistakes are easily corrected with a simple click. The combination of AI assisted and manual labelling, helps you to annotate your objects faster than ever. automation features driven by the latest AI algorithms. In Proceedings of System Demonstrations of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA ( pdf) ( bib) ( flyer)įor publications on more specific aspects of the platform, have a look at our complete publications list. The power of Image Annotation Lab is with its. (2018): The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. Klie, J.-C., Bugert, M., Boullosa, B., Eckart de Castilho, R. If you use INCEpTION in scientific work or want to learn more about it, please have a look at Foxit Reader is primarily a PDF reader, also enabling you to create PDFs, sign them, edit them, and add annotations. In the recently funded INCEpTION project, UKP Lab at TU Darmstadt aims towards building an annotation platform that incorporates all the related tasks into a joint web-based platform. Presently, researchers require a broad range of skills and tools to address such semantic annotation tasks. The annotation of specific semantic phenomena often require compiling task-specific corpora and creating or extending task-specific knowledge bases.
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