davidberenstein1957/concise-concepts
This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.
This project helps you quickly identify specific terms or 'concepts' in text, even if they aren't explicitly listed. You provide a few examples for each concept, and it processes your text to find all relevant mentions, categorizing them with a score. This is useful for anyone working with unstructured text who needs to automatically extract key information, like a data analyst or researcher.
244 stars. No commits in the last 6 months.
Use this if you need to quickly find mentions of specific concepts in text without manually listing every possible variation, using just a few examples.
Not ideal if you need to train a very robust, comprehensive Named Entity Recognition model from scratch with extensive labeled datasets.
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244
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14
Language
Python
License
MIT
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Last pushed
Jun 19, 2023
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