🤯 Did You Know (click to read)
BERT can help populate knowledge graphs by identifying entity relationships in text automatically.
Using contextual embeddings, BERT identifies entities, attributes, and relationships from text, facilitating automatic construction of knowledge graphs. Fine-tuning ensures accuracy and disambiguation of entities, improving AI systems’ ability to organize and retrieve structured information.
💥 Impact (click to read)
Knowledge graph construction supports semantic search, QA systems, and enterprise knowledge management, improving AI-assisted information retrieval and reasoning.
For users, structured knowledge extraction appears coherent and accurate. The irony is that relationships are inferred statistically rather than understood.
Source
Devlin et al., 2018, BERT: Pre-training of Deep Bidirectional Transformers
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