EEVEE: An Easy Annotation Tool for Natural Language Processing

Axel Sorensen; Siyao Peng; Barbara Plank; Rob Van Der Goot

EEVEE: An Easy Annotation Tool for Natural Language Processing

Axel Sorensen
, Siyao Peng
, Barbara Plank
, Rob Van Der Goot

Munich Center for Machine Learning (MCML)
Ludwig Maximilian University of Munich

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)
Editors	Sophie Henning, Manfred Stede
Number of pages	6
Place of Publication	St. Julians, Malta
Publisher	Association for Computational Linguistics
Publication date	1 Mar 2024
Pages	216-221
Publication status	Published - 1 Mar 2024
Event	Workshop on Linguistic Annotation - St. Julians, Malta Duration: 21 Mar 2024 → 22 Mar 2024 Conference number: 18 https://sigann.github.io/LAW-XVIII-2024/

Workshop

Workshop	Workshop on Linguistic Annotation
Number	18
Country/Territory	Malta
City	St. Julians
Period	21/03/2024 → 22/03/2024
Internet address	https://sigann.github.io/LAW-XVIII-2024/

Keywords

annotation tools
natural language processing datasets
browser-based annotation
tab-separated data format
multi-task annotation

Access to Document

https://aclanthology.org/2024.law-1.20

Cite this

@inproceedings{4e17ab986c054726ab59a06e70afc823,

title = "EEVEE: An Easy Annotation Tool for Natural Language Processing",

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.",

keywords = "annotation tools, natural language processing datasets, browser-based annotation, tab-separated data format, multi-task annotation",

author = "Axel Sorensen and Siyao Peng and Barbara Plank and \{Van Der Goot\}, Rob",

year = "2024",

month = mar,

day = "1",

language = "English",

pages = "216--221",

editor = "Sophie Henning and Manfred Stede",

booktitle = "Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)",

publisher = "Association for Computational Linguistics",

address = "United States",

note = "Workshop on Linguistic Annotation , LAW ; Conference date: 21-03-2024 Through 22-03-2024",

url = "https://sigann.github.io/LAW-XVIII-2024/",

}

Sorensen, A, Peng, S, Plank, B & Van Der Goot, R 2024, EEVEE: An Easy Annotation Tool for Natural Language Processing. in S Henning & M Stede (eds), Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII). Association for Computational Linguistics, St. Julians, Malta, pp. 216-221, Workshop on Linguistic Annotation , St. Julians, Malta, 21/03/2024. <https://aclanthology.org/2024.law-1.20>

EEVEE: An Easy Annotation Tool for Natural Language Processing. / Sorensen, Axel; Peng, Siyao; Plank, Barbara et al.
Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII). ed. / Sophie Henning; Manfred Stede. St. Julians, Malta: Association for Computational Linguistics, 2024. p. 216-221.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - EEVEE: An Easy Annotation Tool for Natural Language Processing

AU - Sorensen, Axel

AU - Peng, Siyao

AU - Plank, Barbara

AU - Van Der Goot, Rob

N1 - Conference code: 18

PY - 2024/3/1

Y1 - 2024/3/1

N2 - 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.

AB - 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.

KW - annotation tools

KW - natural language processing datasets

KW - browser-based annotation

KW - tab-separated data format

KW - multi-task annotation

M3 - Article in proceedings

SP - 216

EP - 221

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

A2 - Henning, Sophie

A2 - Stede, Manfred

PB - Association for Computational Linguistics

CY - St. Julians, Malta

T2 - Workshop on Linguistic Annotation

Y2 - 21 March 2024 through 22 March 2024

ER -

EEVEE: An Easy Annotation Tool for Natural Language Processing

Abstract

Workshop

Keywords

Access to Document

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Cite this