IBM/zshot

Zero and Few shot named entity & relationships recognition

41
/ 100
Emerging

This tool helps researchers, data analysts, and content strategists automatically identify specific items (like people, places, or products) and the connections between them in text, even for niche topics. You provide raw text and a description of the types of entities and relationships you're looking for, and it returns the identified entities and their relationships. It’s for anyone who needs to extract structured information from unstructured text without extensive manual labeling.

402 stars. No commits in the last 6 months.

Use this if you need to quickly find and categorize specific entities and the relationships between them in large volumes of text, especially for topics where you don't have a lot of pre-labeled data.

Not ideal if you require a simple, out-of-the-box solution with pre-defined entity types, as it is designed for customization and more advanced linguistic tasks.

text-analysis information-extraction natural-language-processing data-structuring content-analysis
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

402

Forks

26

Language

Python

License

MIT

Last pushed

Sep 17, 2025

Commits (30d)

0

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