hou2zi0/minimal-RTE__ner-training-data
Minimal customization of Quill.js Rich Text Editor for easy annotation of text snippets for NER model training with spaCy.
This tool helps researchers and data scientists create high-quality training data for Named Entity Recognition (NER) models. You upload a JSON file containing raw text snippets, then easily highlight and label specific words or phrases (like names, places, or dates) using a simple editor. The output is an annotated JSON file ready for training machine learning models.
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Use this if you need a straightforward way to manually label text data with specific entity types to prepare it for training custom NER models.
Not ideal if you need advanced collaborative annotation features, complex labeling schemes beyond simple entity spans, or integration with existing annotation platforms.
Stars
10
Forks
2
Language
JavaScript
License
MIT
Category
Last pushed
Feb 25, 2020
Commits (30d)
0
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