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 Relation Extraction Based on Syntactic and Semantic Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/chinese-named-entity-relation-extraction-based-on-syntactic-and-semantic-features
MLA“Chinese Named Entity Relation Extraction Based on Syntactic and Semantic Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/chinese-named-entity-relation-extraction-based-on-syntactic-and-semantic-features.
BibTeX@misc{4ortxyz_chinese-named-entity-relation-extraction-based-on-syntactic-and-semantic-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Chinese Named Entity Relation Extraction Based on Syntactic and Semantic Features}}, year = {2026}, url = {https://4ort.xyz/entity/chinese-named-entity-relation-extraction-based-on-syntactic-and-semantic-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Chinese Named Entity Relation Extraction Based on Syntactic and Semantic Features — https://4ort.xyz/entity/chinese-named-entity-relation-extraction-based-on-syntactic-and-semantic-features (retrieved 2026-05-24)
