Global Relation Embedding for Relation Extraction

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
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Global Relation Embedding for Relation Extraction

Summary

Global Relation Embedding for Relation Extraction is a scholarly article[1].

Key Facts

  • Global Relation Embedding for Relation Extraction's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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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.

APA 4ort.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
MLA “Global Relation Embedding for Relation Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, 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 prompt According 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)

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