Home ›
Entities
› academia
› TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System
TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System
Research article (IEEE Journal of Biomedical and Health Informatics, 2023) · cited 12× · AI/ML
TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System
Summary
TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System is a scholarly article[1].
Key Facts
TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System. Retrieved May 24, 2026, from https://4ort.xyz/entity/teabert-an-efficient-knowledge-infused-cross-lingual-language-model-for-mapping-chinese-medical-entities-to-the-unified-
MLA“TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/teabert-an-efficient-knowledge-infused-cross-lingual-language-model-for-mapping-chinese-medical-entities-to-the-unified-.
BibTeX@misc{4ortxyz_teabert-an-efficient-knowledge-infused-cross-lingual-language-model-for-mapping-chinese-medical-entities-to-the-unified-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System}}, year = {2026}, url = {https://4ort.xyz/entity/teabert-an-efficient-knowledge-infused-cross-lingual-language-model-for-mapping-chinese-medical-entities-to-the-unified-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System — https://4ort.xyz/entity/teabert-an-efficient-knowledge-infused-cross-lingual-language-model-for-mapping-chinese-medical-entities-to-the-unified- (retrieved 2026-05-24)
