yongzhuo/Open-Information-Extraction-System
中文开放信息抽取系统, open-information-extraction-system, build open-knowledge-graph(SPO, subject-predicate-object) by pyltp(version==3.4.0)
This system helps knowledge managers or data analysts working with Chinese text to automatically identify key relationships within sentences. It takes raw Chinese sentences and extracts Subject-Predicate-Object (SPO) triples, which are fundamental building blocks for knowledge graphs. The output is structured data showing who did what to whom, making it easier to build structured knowledge bases from unstructured text.
No commits in the last 6 months.
Use this if you need to extract factual relationships from simple, grammatically correct Chinese sentences to populate a knowledge graph or structured database.
Not ideal if you are working with very long, complex, or colloquial Chinese sentences, as its dependency parsing may not perform well.
Stars
8
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 02, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/yongzhuo/Open-Information-Extraction-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
zjunlp/OpenUE
[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
OpenSextant/Xponents
Geographic Place, Date/time, and Pattern entity extraction toolkit along with text extraction...
BaptisteBlouin/EventExtractionPapers
A list of NLP resources focused on event extraction task
philipperemy/stanford-openie-python
Stanford Open Information Extraction made simple!
uma-pi1/minie
An open information extraction system that provides compact extractions