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.- Anthology ID:
- 2024.law-1.20
- Volume:
- Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)
- Month:
- March
- Year:
- 2024
- Address:
- St. Julians, Malta
- Editors:
- Sophie Henning, Manfred Stede
- Venues:
- LAW | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 216–221
- Language:
- URL:
- https://aclanthology.org/2024.law-1.20
- DOI:
- Cite (ACL):
- Axel Sorensen, Siyao Peng, Barbara Plank, and Rob Van Der Goot. 2024. EEVEE: An Easy Annotation Tool for Natural Language Processing. In Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII), pages 216–221, St. Julians, Malta. Association for Computational Linguistics.
- Cite (Informal):
- EEVEE: An Easy Annotation Tool for Natural Language Processing (Sorensen et al., LAW-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2024.law-1.20.pdf