pat-jj/TagReal

[ACL'23] Open KG Completion with PLM (Bridging Text Mining and Prompt Engineering)

21
/ 100
Experimental

This project helps researchers and data scientists expand existing knowledge graphs by automatically adding missing connections between entities. It takes an existing knowledge graph and relevant textual data as input, and outputs an enriched knowledge graph with newly identified relationships. It's designed for users working with large datasets, such as scientific publications or biomedical records, who need to find implicit connections.

No commits in the last 6 months.

Use this if you need to automatically discover and add new, verifiable relationships to an existing knowledge graph using associated text data.

Not ideal if you are working with small, static knowledge graphs or if you don't have accompanying text data to help infer new relationships.

knowledge-graph information-extraction semantic-web biomedical-research data-enrichment
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 5 / 25

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Stars

44

Forks

2

Language

Python

License

Last pushed

Sep 16, 2023

Commits (30d)

0

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