@inproceedings{dahmann-etal-2026-towards,
title = "Towards the Generation and Application of Dynamic Web-Based Visualization of {UIMA}-based Annotations for Big-Data Corpora with the Help of Unified Dynamic Annotation Visualizer",
author = "Dahmann, Thiemo and
Schneider, Julian and
Stephan, Philipp and
Abrami, Giuseppe and
Mehler, Alexander",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.533/",
doi = "10.63317/5ce2aaity4yz",
pages = "6695--6705",
abstract = "The automatic and manual annotation of unstructured corpora is a routine task in many scientific fields and is supported by a variety of existing software solutions. Despite this variety, few solutions currently support annotation visualization, especially for dynamic generation and interaction. To bridge this gap and visualize annotated corpora based on user-, project-, or corpus-specific aspects, we developed Unified Dynamic Annotation Visualizer (UDAV). UDAV is a web-based solution that implements features not supported by comparable tools, enabling a customizable and extensible toolbox for interacting with annotations and allowing integration into existing big-data frameworks. We exemplify UDAV through a range of visualizations and also provide an evaluation of corpus import and processing performance."
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<abstract>The automatic and manual annotation of unstructured corpora is a routine task in many scientific fields and is supported by a variety of existing software solutions. Despite this variety, few solutions currently support annotation visualization, especially for dynamic generation and interaction. To bridge this gap and visualize annotated corpora based on user-, project-, or corpus-specific aspects, we developed Unified Dynamic Annotation Visualizer (UDAV). UDAV is a web-based solution that implements features not supported by comparable tools, enabling a customizable and extensible toolbox for interacting with annotations and allowing integration into existing big-data frameworks. We exemplify UDAV through a range of visualizations and also provide an evaluation of corpus import and processing performance.</abstract>
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%0 Conference Proceedings
%T Towards the Generation and Application of Dynamic Web-Based Visualization of UIMA-based Annotations for Big-Data Corpora with the Help of Unified Dynamic Annotation Visualizer
%A Dahmann, Thiemo
%A Schneider, Julian
%A Stephan, Philipp
%A Abrami, Giuseppe
%A Mehler, Alexander
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F dahmann-etal-2026-towards
%X The automatic and manual annotation of unstructured corpora is a routine task in many scientific fields and is supported by a variety of existing software solutions. Despite this variety, few solutions currently support annotation visualization, especially for dynamic generation and interaction. To bridge this gap and visualize annotated corpora based on user-, project-, or corpus-specific aspects, we developed Unified Dynamic Annotation Visualizer (UDAV). UDAV is a web-based solution that implements features not supported by comparable tools, enabling a customizable and extensible toolbox for interacting with annotations and allowing integration into existing big-data frameworks. We exemplify UDAV through a range of visualizations and also provide an evaluation of corpus import and processing performance.
%R 10.63317/5ce2aaity4yz
%U https://aclanthology.org/2026.lrec-1.533/
%U https://doi.org/10.63317/5ce2aaity4yz
%P 6695-6705
Markdown (Informal)
[Towards the Generation and Application of Dynamic Web-Based Visualization of UIMA-based Annotations for Big-Data Corpora with the Help of Unified Dynamic Annotation Visualizer](https://aclanthology.org/2026.lrec-1.533/) (Dahmann et al., LREC 2026)
ACL