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). An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-rg-flat-crf-model-for-named-entity-recognition-of-chinese-electronic-clinical-records
MLA“An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-rg-flat-crf-model-for-named-entity-recognition-of-chinese-electronic-clinical-records.
BibTeX@misc{4ortxyz_an-rg-flat-crf-model-for-named-entity-recognition-of-chinese-electronic-clinical-records_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records}}, year = {2026}, url = {https://4ort.xyz/entity/an-rg-flat-crf-model-for-named-entity-recognition-of-chinese-electronic-clinical-records}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records — https://4ort.xyz/entity/an-rg-flat-crf-model-for-named-entity-recognition-of-chinese-electronic-clinical-records (retrieved 2026-05-24)
