EEVEE: An Easy Annotation Tool for Natural Language Processing
MCML Authors
Siyao Peng
Dr.
* Former Member
Barbara Plank
Prof. Dr.
Core PI
Abstract
Siyao Peng
Dr.
* Former Member
Barbara Plank
Prof. Dr.
Core PI
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 SPP+24
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