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.
Originalsprog | Engelsk |
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Titel | Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII) |
Redaktører | Sophie Henning, Manfred Stede |
Antal sider | 6 |
Udgivelsessted | St. Julians, Malta |
Forlag | Association for Computational Linguistics |
Publikationsdato | 1 mar. 2024 |
Sider | 216-221 |
Status | Udgivet - 1 mar. 2024 |