We are pleased to announce the release of INCEpTION 20.3
INCEpTION is an extensible web-based collaborative environment for text annotation. It integrates machine-learning-based annotation support, knowledge base management and corpus building into a single comprehensive platform.
This is a bug-fix release.
Important update notes
If you upgrade from a version older than 20.0, please check the update notes for INCEpTION 20.0 .
- 🦟 Fixed issue importing re-zipped project archive files containing curated documents
- 🦟 Fixed issue that guest annotators can not log in if an email is set in the profile but the invite page does not ask for an email.
- 🦟 Fixed issue the documentation content tree collapsing/expansion following the scroll position by introducing additional subheadings
If you discover problems with this release, please report them to us via our issue tracker .
Contributors to this release since 20.2: @reckart, @UWinch, @jcklie, @Falko1
Also thanks to all issue reporters, beta testers, feature suggesters, and users!
The new version can be downloaded from our website .
Important upgrade notes
An in-place upgrade from INCEpTION 20.2 to 20.3 is possible.
Back up your data before the upgrade .
An overview of INCEpTION can be found in
Klie, J.-C., Bugert, M., Boullosa, B., Eckart de Castilho, R. and Gurevych, I. (2018):
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation.
In Proceedings of System Demonstrations of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA
PDF and BibTeX as well as more publications on specific features are
available from our website .
License and System requirements
INCEpTION is provided as open source software under the Apache License version 2.
Running INCEpTION requires Java version 11 or higher.
By default, INCEpTION uses an embedded database which is sufficient for testing. However, the use of a MariaDB database is recommended.
INCEpTION works best with Chrome and Safari.
-- The INCEpTION developer team