code-kern-ai/sequence-learn
With sequence-learn, you can build models for named entity recognition as quickly as if you were building a sklearn classifier.
This tool helps data scientists and AI engineers build models to automatically identify and extract specific entities like names, locations, or dates from text. You provide text passages and tell the model what kind of information each word represents (e.g., 'CITY' for 'Cologne'). The tool then learns to recognize these patterns and tags new text accordingly, turning unstructured text into structured information.
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Use this if you need to quickly develop custom named entity recognition (NER) models for specialized datasets without extensive deep learning expertise.
Not ideal if you need a plug-and-play solution for common entities in standard languages and prefer not to write any code.
Stars
22
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2
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 20, 2022
Commits (30d)
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