Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations

Term clustering is important in biomedical knowledge graph construction. Using similarities between terms embedding is helpful for term clustering. State-of-the-art term embeddings leverage pretrained language models to encode terms, and use synonyms and relation knowledge from knowledge graphs to g...

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Hauptverfasser: Zeng, Sihang, Yuan, Zheng, Yu, Sheng
Format: Artikel
Sprache:eng
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