taishan1994/SpERT_chinese
基于论文SpERT: "Span-based Entity and Relation Transformer"的中文关系抽取，同时抽取实体、实体类别和关系类别。
This project helps you automatically extract key entities and the relationships between them from Chinese text. You provide raw Chinese text, and it identifies specific items like people, organizations, or locations, categorizes them, and then maps out how they are connected (e.g., '陈国峻' is '丈夫' of '天城公主'). This is ideal for data analysts, researchers, or anyone needing to structure information from large volumes of unstructured Chinese documents.
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Use this if you need to systematically identify and categorize named entities and the relationships between them within Chinese language documents, converting unstructured text into structured data.
Not ideal if your primary need is general text classification, sentiment analysis, or working with languages other than Chinese.
Stars
38
Forks
5
Language
Python
License
MIT
Category
Last pushed
Nov 30, 2022
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