sayef/fsner
Few-shot Named Entity Recognition
This tool helps you automatically find and label specific terms, like company names, product names, or medical conditions, within text documents. You provide a few examples of the terms you're looking for, and it processes your new text, highlighting those items. It's ideal for analysts, researchers, or anyone needing to quickly extract custom categories of information from large volumes of text without extensive manual labeling.
120 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to identify specific types of entities in text, like competitor names, research topics, or product features, but only have a handful of examples for each category.
Not ideal if you need to perform general entity recognition for common categories like dates, locations, or people, as there are many pre-trained models available for those tasks.
Stars
120
Forks
6
Language
Python
License
—
Category
Last pushed
Mar 30, 2022
Commits (30d)
0
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