tanyuqian/knowledge-harvest-from-lms

ACL 2023 (Findings) - BertNet: Harvesting Knowledge Graphs from Pretrained Language Models

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This project helps researchers and knowledge engineers automatically build and expand knowledge graphs. You provide a small set of relation definitions (like "A is capable of but not good at B"), and it generates new, complex factual statements and relationships (knowledge tuples) from large language models. The output is a new knowledge graph containing these extracted relationships, useful for enriching existing graphs or creating new ones for specific domains.

107 stars. No commits in the last 6 months.

Use this if you need to rapidly construct or expand a knowledge graph for a new domain or with nuanced relationships, without extensive manual annotation or large existing datasets.

Not ideal if you require knowledge graphs built solely from human-curated data or need to extract facts from specific, structured documents rather than general language model knowledge.

knowledge-engineering knowledge-graph-construction semantic-modeling data-enrichment natural-language-understanding
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 17 / 25

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Last pushed

Jul 01, 2024

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