INCEpTION
INCEpTION is an open-source text annotation tool primarily designed to annotate text documents. It supports annotations of words and sentences as well as linking annotations to each other.
- Collaborative Annotation: Multiple users can work on the same project, with built-in support for inter-annotator agreement metrics and different workflow management schemes.
- Customizable Annotation Layers: Users can define custom annotation schemas and layers tailored to specific project needs.
- Knowledge Base Integration: Annotations can be linked to knowledge bases and terminologies such as Wikidata, SNOMED CT and other RDF/OWL/OBO resources.
- Machine Learning Integration: INCEpTION can train and use machine learning models to suggest annotations, improving the efficiency of the annotation process.
- Interoperability: It supports a wide range of data formats (e.g., XMI, CoNLL, TSV), making it easy to import and export data for use with other NLP tools.
These features make INCEpTION a comprehensive solution for building and managing annotated corpora.
The SSH Open Marketplace is maintained and will be further developed by three European Research Infrastructures - DARIAH, CLARIN and CESSDA - and their national partners. It was developed as part of the "Social Sciences and Humanities Open Cloud" SSHOC project, European Union's Horizon 2020 project call H2020-INFRAEOSC-04-2018, grant agreement #823782.