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What is Domain Knowledge-Driven Relation Extraction Method about?

This research article presents a novel method for relation classification in natural language processing that integrates domain knowledge from knowledge graphs into pre-trained models like BERT. The proposed approach achieves an accuracy of 93.06%, significantly outperforming existing methods by effectively incorporating specialized vocabulary and triplet knowledge without greatly increasing computational complexity. The study highlights the limitations of traditional pre-trained models in specialized domai

Author

hoomankh

Language

EN