uma-pi1/minie
An open information extraction system that provides compact extractions
This project helps anyone working with large volumes of text data to automatically extract key facts. You provide natural language sentences, and it outputs concise, structured factual triples (subject-relation-object) like ("AMD"; "is based in"; "U.S."). This is ideal for researchers, data analysts, or anyone needing to distill complex text into actionable, summarized information.
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Use this if you need to automatically identify and extract core facts and relationships from unstructured text, without predefined rules.
Not ideal if you require highly specific, domain-dependent extractions that rely on a predefined ontology or schema.
Stars
96
Forks
28
Language
Java
License
GPL-3.0
Category
Last pushed
Feb 26, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/uma-pi1/minie"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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