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3.0 3.0 0.0 2.2 MB

Utility for dictionary-based named entity recognition

License: MIT License

Python 87.10% Shell 2.00% Batchfile 2.02% Cython 8.89%
named-entity-disambiguation named-entity-linking named-entity-recognition rule-based-nlp text-mining

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pilsner's Issues

Short keys for model sections

For production, use short keys (byte?) for model sections instead of explicit ~content, ~specs, ~compressed, etc.
Probably leave explicit keys for debugging purposes.

Ability to remove entries from a dictionary

Use case is yet unclear, but it is possible that the ability to remove entries from already compiled model might be handy.
Something like:

m = pilsner.Model('model_name') # load compiled model
m.remove_entry('substring we do not want to recognize')

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