tomaarsen/SpanMarkerNER
SpanMarker for Named Entity Recognition
This project helps data scientists and NLP practitioners automatically identify and categorize key entities like names, locations, or organizations within raw text. You input text documents, and it outputs the text with specific words or phrases highlighted and labeled with their category. It's designed for anyone building custom Named Entity Recognition (NER) models for specialized tasks.
465 stars. No commits in the last 6 months.
Use this if you need to train powerful, custom Named Entity Recognition (NER) models from your own labeled text data efficiently.
Not ideal if you're looking for an off-the-shelf solution for general NER without needing to train a custom model.
Stars
465
Forks
34
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 08, 2025
Commits (30d)
0
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