philipperemy/stanford-openie-python
Stanford Open Information Extraction made simple!
Extracts structured relation triples (subject-relation-object) from unstructured text without predefined schemas, leveraging Stanford's CoreNLP library (v4.5.3+) which runs as a Java backend. Wraps the CoreNLP OpenIE API with Python bindings to process plain text and supports optional GraphViz visualization of extracted relation graphs. Configurable via CoreNLP properties like affinity probability thresholds for fine-tuning extraction confidence.
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Language
Python
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Last pushed
Jan 11, 2024
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