AnnoPlot: Interactive Visualizations of Text Annotations
Elisabeth Fittschen, Tim Fischer, Daniel Brühl, Julia Spahr, Yuliia Lysa, Phuoc Thang Le
Abstract
This paper presents AnnoPlot, a web application designed to analyze, manage, and visualize annotated text data.Users can configure projects, upload datasets, and explore their data through interactive visualization of span annotations with scatter plots, clusters, and statistics. AnnoPlot supports various transformer models to compute high-dimensional embeddings of text annotations and utilizes dimensionality reduction algorithms to offer users a novel 2D view of their datasets.A dynamic approach to dimensionality reduction allows users to adjust visualizations in real-time, facilitating category reorganization and error identification. The proposed application is open-source, promoting transparency and user control.Especially suited for the Digital Humanities, AnnoPlot offers a novel solution to address challenges in dynamic annotation datasets, empowering users to enhance data integrity and adapt to evolving categorizations.- Anthology ID:
- 2024.eacl-demo.12
- Volume:
- Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
- Month:
- March
- Year:
- 2024
- Address:
- St. Julians, Malta
- Editors:
- Nikolaos Aletras, Orphee De Clercq
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 106–114
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2024.eacl-demo.12/
- DOI:
- Cite (ACL):
- Elisabeth Fittschen, Tim Fischer, Daniel Brühl, Julia Spahr, Yuliia Lysa, and Phuoc Thang Le. 2024. AnnoPlot: Interactive Visualizations of Text Annotations. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 106–114, St. Julians, Malta. Association for Computational Linguistics.
- Cite (Informal):
- AnnoPlot: Interactive Visualizations of Text Annotations (Fittschen et al., EACL 2024)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2024.eacl-demo.12.pdf