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Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization
Research article (Journal of the American Medical Informatics Association, 2020) · cited 30× · AI/ML
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization
Summary
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization is a scholarly article[1].
Key Facts
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization. Retrieved May 24, 2026, from https://4ort.xyz/entity/unified-medical-language-system-resources-improve-sieve-based-generation-and-bidirectional-encoder-representations-from-
MLA“Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unified-medical-language-system-resources-improve-sieve-based-generation-and-bidirectional-encoder-representations-from-.
BibTeX@misc{4ortxyz_unified-medical-language-system-resources-improve-sieve-based-generation-and-bidirectional-encoder-representations-from-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization}}, year = {2026}, url = {https://4ort.xyz/entity/unified-medical-language-system-resources-improve-sieve-based-generation-and-bidirectional-encoder-representations-from-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization — https://4ort.xyz/entity/unified-medical-language-system-resources-improve-sieve-based-generation-and-bidirectional-encoder-representations-from- (retrieved 2026-05-24)
