Eclipse INCEpTION

Eclipse INCEpTION provides a platform for interactive and automated annotation of text and multi-modal content, supporting human-in-the-loop workflows, external machine-learning recommenders, and AI-assisted annotation capabilities.

Eclipse INCEpTION is currently mainly focussed on text, but is also already allowing certain multi-modal elements (e.g. linking text to images or displaying multi-modal contents embedded in HTML files or annotating PDF documents), so further extensions into the multi-modal space are possible.

Eclipse INCEpTION is mainly focussed on interactive annotation and human-in-the-loop scenarios, however, it also has started an experimental bulk processing module which can run annotation recommenders, auto-accept their suggestions and apply them to documents. In such scenarios, annotators might then use the annotation and quality assurance user interfaces mainly for inspection rather than annotation.

Machine-learning capabilities used in Eclipse INCEpTION are acquired via existing libraries (e.g. OpenNLP) or via external user-provided recommenders talking to Eclipse INCEpTION via an API. Development of machine learning capabilities within Eclipse INCEpTION is not planned. However, the ability to use LLM-based AI assistants e.g. in the form of a copilot chat is available as an experimental feature and planned to be developed further.