tim5go/zhopenie
Chinese Open Information Extraction (Tree-based Triple Relation Extraction Module)
This project helps you automatically extract key relationships from Chinese sentences, turning raw text into structured information. You feed it Chinese text, and it outputs subject-predicate-object triples like "(DBS Group, is, one of Asia's largest financial service groups)". This is useful for data analysts, researchers, or anyone needing to quickly identify specific entities and their connections within large volumes of Chinese text.
117 stars. No commits in the last 6 months.
Use this if you need to systematically identify and extract factual relationships from Chinese language documents for analysis or database population.
Not ideal if you require extremely high accuracy for mission-critical applications, as its current extraction accuracy is around 70%.
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117
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Language
Python
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Last pushed
Jun 19, 2017
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