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.- Anthology ID:
- P19-3002
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7–12
- Language:
- URL:
- https://aclanthology.org/P19-3002
- DOI:
- 10.18653/v1/P19-3002
- Cite (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.
- Cite (Informal):
- SLATE: A Super-Lightweight Annotation Tool for Experts (Kummerfeld, ACL 2019)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/P19-3002.pdf
- Code
- jkkummerfeld/slate