ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration

Max Wiechmann, Seid Muhie Yimam, Chris Biemann


Abstract
ActiveAnno is an annotation tool focused on document-level annotation tasks developed both for industry and research settings. It is designed to be a general-purpose tool with a wide variety of use cases. It features a modern and responsive web UI for creating annotation projects, conducting annotations, adjudicating disagreements, and analyzing annotation results. ActiveAnno embeds a highly configurable and interactive user interface. The tool also integrates a RESTful API that enables integration into other software systems, including an API for machine learning integration. ActiveAnno is built with extensible design and easy deployment in mind, all to enable users to perform annotation tasks with high efficiency and high-quality annotation results.
Anthology ID:
2021.naacl-demos.12
Volume:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
Month:
June
Year:
2021
Address:
Online
Editors:
Avi Sil, Xi Victoria Lin
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
99–105
Language:
URL:
https://aclanthology.org/2021.naacl-demos.12
DOI:
10.18653/v1/2021.naacl-demos.12
Bibkey:
Cite (ACL):
Max Wiechmann, Seid Muhie Yimam, and Chris Biemann. 2021. ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, pages 99–105, Online. Association for Computational Linguistics.
Cite (Informal):
ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration (Wiechmann et al., NAACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.naacl-demos.12.pdf
Supplementary:
 2021.naacl-demos.12.Supplementary.pdf
Video:
 https://aclanthology.org/2021.naacl-demos.12.mp4