INK-USC/AlpacaTag

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

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This tool helps data teams efficiently label text data for tasks like named-entity recognition. You input raw text documents and a crowd of annotators, and it outputs high-quality, consistently labeled text, ready for training machine learning models. Data scientists, AI researchers, and machine learning engineers will find this valuable for preparing training datasets.

137 stars. No commits in the last 6 months.

Use this if you need to rapidly create accurate, large-scale labeled text datasets with the help of multiple human annotators.

Not ideal if your data is not text-based or if you only need a small amount of labeling done by a single person.

data-labeling natural-language-processing named-entity-recognition text-annotation machine-learning-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

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Last pushed

Jan 05, 2023

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