@inproceedings{fittschen-etal-2024-annoplot,
title = "{A}nno{P}lot: Interactive Visualizations of Text Annotations",
author = {Fittschen, Elisabeth and
Fischer, Tim and
Br{\"u}hl, Daniel and
Spahr, Julia and
Lysa, Yuliia and
Le, Phuoc Thang},
editor = "Aletras, Nikolaos and
De Clercq, Orphee",
booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = mar,
year = "2024",
address = "St. Julians, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.eacl-demo.12",
pages = "106--114",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T AnnoPlot: Interactive Visualizations of Text Annotations
%A Fittschen, Elisabeth
%A Fischer, Tim
%A Brühl, Daniel
%A Spahr, Julia
%A Lysa, Yuliia
%A Le, Phuoc Thang
%Y Aletras, Nikolaos
%Y De Clercq, Orphee
%S Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F fittschen-etal-2024-annoplot
%X 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.
%U https://aclanthology.org/2024.eacl-demo.12
%P 106-114
Markdown (Informal)
[AnnoPlot: Interactive Visualizations of Text Annotations](https://aclanthology.org/2024.eacl-demo.12) (Fittschen et al., EACL 2024)
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.