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.
@article{arxiv.2402.02864,
title = {EEVEE: An Easy Annotation Tool for Natural Language Processing},
author = {Axel Sorensen and Siyao Peng and Barbara Plank and Rob van der Goot},
journal= {arXiv preprint arXiv:2402.02864},
year = {2024}
}
Comments
6 pages; accepted to The Linguistic Annotation Workshop (LAW) at EACL 2024