SapienzaNLP/relik
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
This tool helps researchers and analysts quickly identify and connect specific entities (like people, places, or organizations) mentioned in text to authoritative knowledge bases, and also understand the relationships between them. You provide raw text documents, and it outputs structured data showing linked entities and the connections between them. It's designed for anyone who needs to extract structured information from large volumes of unstructured text, such as academic researchers or data scientists.
494 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly process text to find and link entities and their relationships, especially when working with limited computational resources or large datasets.
Not ideal if your primary need is general-purpose text summarization or sentiment analysis rather than extracting specific factual connections.
Stars
494
Forks
38
Language
Python
License
—
Category
Last pushed
Jul 29, 2025
Commits (30d)
0
Dependencies
16
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