UBIAI helps in managing multiple users, multi-label document annotations and team performance.
To generate high-quality text annotations and speed up the whole process, team collaboration is vital. UBIAI allows you to assign documents to annotators.
In addition, you can track the progression of text annotation, the performance of the assigned project, and measure inter-annotator agreements.
UBIAI’s comprehensive user interface allows seamless navigation and allows tracking multiple collaborations without any coding!
How Does UBIAI’s Team Collaboration Feature Works?
With the self-assign option, the collaborators or teammates get an option of selecting documents they want from the pool of documents already uploaded by the administrator.
Once the annotators are added, you can validate their annotations, track their progress progress including the annotation time per document for each collaborator.
For successful training of machine learning models, identification of annotation conflicts between annotators is necessary.
The inter-annotator agreement option in UBIAI allows easy evaluation of team performance.
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If you’re looking for a tagging platform on NLP projects, UBIAI probably has all the features you need. lt supports many document types and multiple OCR engines. It’s super simple and powerful.
Ihsan S.
Machine Learning Engineer
It is very easy to work with. A couple of things that draw me to UBIAI are that it could accept data in a LOT of formats (even including PDFs!).
Jetson W.
Data Architect
I love this product as this provides amazing support for document classification and named entity recognition. The NLP tasks UI is very intuitively embedded into this product and it is really easy to use.