@inproceedings{kummerfeld-2019-slate,
title = "{SLATE}: A Super-Lightweight Annotation Tool for Experts",
author = "Kummerfeld, Jonathan K.",
editor = "Costa-juss{\`a}, Marta R. and
Alfonseca, Enrique",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-3002",
doi = "10.18653/v1/P19-3002",
pages = "7--12",
abstract = "Many annotation tools have been developed, covering a wide variety of tasks and providing features like user management, pre-processing, and automatic labeling. However, all of these tools use Graphical User Interfaces, and often require substantial effort to install and configure. This paper presents a new annotation tool that is designed to fill the niche of a lightweight interface for users with a terminal-based workflow. SLATE supports annotation at different scales (spans of characters, tokens, and lines, or a document) and of different types (free text, labels, and links), with easily customisable keybindings, and unicode support. In a user study comparing with other tools it was consistently the easiest to install and use. SLATE fills a need not met by existing systems, and has already been used to annotate two corpora, one of which involved over 250 hours of annotation effort.",
}
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<abstract>Many annotation tools have been developed, covering a wide variety of tasks and providing features like user management, pre-processing, and automatic labeling. However, all of these tools use Graphical User Interfaces, and often require substantial effort to install and configure. This paper presents a new annotation tool that is designed to fill the niche of a lightweight interface for users with a terminal-based workflow. SLATE supports annotation at different scales (spans of characters, tokens, and lines, or a document) and of different types (free text, labels, and links), with easily customisable keybindings, and unicode support. In a user study comparing with other tools it was consistently the easiest to install and use. SLATE fills a need not met by existing systems, and has already been used to annotate two corpora, one of which involved over 250 hours of annotation effort.</abstract>
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%0 Conference Proceedings
%T SLATE: A Super-Lightweight Annotation Tool for Experts
%A Kummerfeld, Jonathan K.
%Y Costa-jussà, Marta R.
%Y Alfonseca, Enrique
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F kummerfeld-2019-slate
%X Many annotation tools have been developed, covering a wide variety of tasks and providing features like user management, pre-processing, and automatic labeling. However, all of these tools use Graphical User Interfaces, and often require substantial effort to install and configure. This paper presents a new annotation tool that is designed to fill the niche of a lightweight interface for users with a terminal-based workflow. SLATE supports annotation at different scales (spans of characters, tokens, and lines, or a document) and of different types (free text, labels, and links), with easily customisable keybindings, and unicode support. In a user study comparing with other tools it was consistently the easiest to install and use. SLATE fills a need not met by existing systems, and has already been used to annotate two corpora, one of which involved over 250 hours of annotation effort.
%R 10.18653/v1/P19-3002
%U https://aclanthology.org/P19-3002
%U https://doi.org/10.18653/v1/P19-3002
%P 7-12
Markdown (Informal)
[SLATE: A Super-Lightweight Annotation Tool for Experts](https://aclanthology.org/P19-3002) (Kummerfeld, ACL 2019)
ACL
- Jonathan K. Kummerfeld. 2019. SLATE: A Super-Lightweight Annotation Tool for Experts. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 7–12, Florence, Italy. Association for Computational Linguistics.