lizongyu1293306035/CasRelPyTorch-

CasRelPytorch项目的改写版本,根据源码增添了模型预测功能以及预测结果导入neo4j图数据库的功能。

13
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Experimental

This project helps researchers and data analysts automatically identify and extract relationships between entities from Chinese text, like finding the 'singer' of a 'song'. You provide plain text files, and it outputs structured relationship triples directly into a Neo4j graph database. This is ideal for those who need to build knowledge graphs or analyze complex connections within large volumes of textual data.

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Use this if you need to extract specific subject-predicate-object relationships from Chinese text and want to store them directly in a Neo4j graph database for further analysis.

Not ideal if your primary need is general text summarization, sentiment analysis, or if you work exclusively with non-Chinese text datasets.

knowledge-graph-construction information-extraction natural-language-processing text-mining data-structuring
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Python

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Last pushed

Jul 25, 2024

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