Skip to search boxSkip to navigationSkip to main content

EEVEE: An Easy Annotation Tool for Natural Language Processing

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 216-221 (6 pages)

Publication milestones

  • Published - 01/03/2024

Publication status

Published - 01/03/2024

Place of publication

St. Julians, Malta

Publisher

Association for Computational Linguistics, United States

Publication IDs

  • Scopus: 85188684871

Host publication title

Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)

Host publication editors

  • Sophie Henning
  • Manfred Stede

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.

Publication metrics

PlumX

Citations
2

Related Event

Title

Workshop on Linguistic Annotation

Event type

Workshop

Degree of recognition

International event

Date

21/03/2024 - 22/03/2024

Location

St. JuliansMalta