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). Chinese named entity recognition in power domain based on Bi-LSTM-CRF. Retrieved May 24, 2026, from https://4ort.xyz/entity/chinese-named-entity-recognition-in-power-domain-based-on-bi-lstm-crf
MLA“Chinese named entity recognition in power domain based on Bi-LSTM-CRF.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/chinese-named-entity-recognition-in-power-domain-based-on-bi-lstm-crf.
BibTeX@misc{4ortxyz_chinese-named-entity-recognition-in-power-domain-based-on-bi-lstm-crf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Chinese named entity recognition in power domain based on Bi-LSTM-CRF}}, year = {2026}, url = {https://4ort.xyz/entity/chinese-named-entity-recognition-in-power-domain-based-on-bi-lstm-crf}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Chinese named entity recognition in power domain based on Bi-LSTM-CRF — https://4ort.xyz/entity/chinese-named-entity-recognition-in-power-domain-based-on-bi-lstm-crf (retrieved 2026-05-24)
