malllabiisc/CaRE
EMNLP 2019: CaRe: Open Knowledge Graph Embeddings
This project helps researchers and knowledge base curators improve the quality of information extracted from text. It takes a collection of facts (like "Paris is the capital of France") and an existing knowledge graph, then learns better numerical representations (embeddings) for entities and relations. The output is an updated knowledge graph with enhanced semantic understanding, useful for anyone working with large, open-domain knowledge bases.
No commits in the last 6 months.
Use this if you need to build or enhance a knowledge graph from unstructured text and want to improve the semantic representation of its entities and relations.
Not ideal if you are working with structured, curated knowledge bases where all entities and relations are already well-defined and unambiguous.
Stars
38
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/malllabiisc/CaRE"
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