EEVEE: An Easy Annotation Tool for Natural Language Processing
- Axel Sorensen,
- Siyao Peng,
- ,
- Munich Center for Machine Learning (MCML),
- Ludwig Maximilian University of Munich,
- ,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 216-221 (6 pages)Publication milestones
- Published - 01/03/2024
Publication status
Published - 01/03/2024
Place of publication
St. Julians, MaltaPublisher
Association for Computational Linguistics, United StatesPublication IDs
- Scopus: 85188684871
Host publication title
Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)Host publication editors
- Sophie Henning
- Manfred Stede
Abstract
Annotation tools are the starting point for creating Natural Language Processing (NLP) datasets. There is a wide variety of tools available; setting up these tools is however a hindrance. We propose Eevee, an annotation tool focused on simplicity, efficiency, and ease of use. It can run directly in the browser (no setup required) and uses tab-separated files (as opposed to character offsets or task-specific formats) for annotation. It allows for annotation of multiple tasks on a single dataset and supports four task-types: sequence labeling, span labeling, text classification and seq2seq.
Publication metrics
PlumX
Citations
2
Related Event
Title
Workshop on Linguistic Annotation
Event type
WorkshopDegree of recognition
International eventDate
21/03/2024 - 22/03/2024Location
St. JuliansMalta
