Research article (Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers), 2018) · cited 29× · AI/ML
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). Global Relation Embedding for Relation Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/global-relation-embedding-for-relation-extraction
BibTeX@misc{4ortxyz_global-relation-embedding-for-relation-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Global Relation Embedding for Relation Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/global-relation-embedding-for-relation-extraction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Global Relation Embedding for Relation Extraction — https://4ort.xyz/entity/global-relation-embedding-for-relation-extraction (retrieved 2026-05-24)