CITATION.bib

@inproceedings{Dahmann:et:al:2026,
  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},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  year      = {2026},
  pages = {6695--6705},
  author    = {Dahmann, Thiemo and Schneider, Julian and Stephan, Philipp and Abrami, Giuseppe
               and Mehler, Alexander},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/5ce2aaity4yz},               
  keywords  = {NLP, UIMA, Annotations, dynamic visualization, uce},
  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.},
  pdf = {http://www.lrec-conf.org/proceedings/lrec2026/pdf/2026.lrec2026-1.533.pdf}
}