jiesutd/YEDDA

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

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Established

This tool helps researchers and data scientists efficiently label specific chunks of text, symbols, or even emojis within documents, regardless of the language. You input raw text files, and it allows you to quickly highlight and categorize relevant sections using keyboard shortcuts or commands. The output is your original text file with the annotated segments clearly marked, which is useful for training natural language processing models or performing detailed content analysis.

1,073 stars. No commits in the last 6 months.

Use this if you need to manually label text spans with categories (like names, locations, or events) for a dataset and want to do so quickly, or if you're an administrator needing to compare the quality of annotations from multiple human annotators.

Not ideal if you need an automated text annotation solution without human intervention, or if your primary focus is on annotating entire documents rather than specific text spans.

text-annotation natural-language-processing data-labeling linguistics content-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,073

Forks

300

Language

Python

License

Apache-2.0

Last pushed

Feb 19, 2023

Commits (30d)

0

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