EEVEE: An Easy Annotation Tool for Natural Language Processing
MCML Authors
Siyao Peng
Dr.
Barbara Plank
Prof. Dr.
Principal Investigator
Abstract
Siyao Peng
Dr.
Barbara Plank
Prof. Dr.
Principal Investigator
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.
inproceedings
LAW @EACL 2024
18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024.Authors
A. Sorensen • S. Peng • B. Plank • R. GootLinks
URLResearch Area
BibTeXKey: SPP+24