EEVEE: An Easy Annotation Tool for Natural Language Processing

Axel Sorensen, Siyao Peng, Barbara Plank, Rob Van Der Goot


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:
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2024.law-1.20.pdf