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Entity-centered Cross-document Relation Extraction

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 49× · AI/ML
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scholarly article[2]

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Authored by 7
Donghong Ji, Fangfang Su, Fengqi Wang, Hao Fei, Jingye Li, Shengqiong Wu, Wenxuan Shi
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Donghong Ji, Fangfang Su, Fengqi Wang, Hao Fei, Jingye Li, Shengqiong Wu, Wenxuan Shi
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Summary

Entity-centered Cross-document Relation Extraction is a scholarly article[1].

References

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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). Entity-centered Cross-document Relation Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/entity-centered-cross-document-relation-extraction
MLA “Entity-centered Cross-document Relation Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/entity-centered-cross-document-relation-extraction.
BibTeX @misc{4ortxyz_entity-centered-cross-document-relation-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Entity-centered Cross-document Relation Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/entity-centered-cross-document-relation-extraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Entity-centered Cross-document Relation Extraction — https://4ort.xyz/entity/entity-centered-cross-document-relation-extraction (retrieved 2026-05-24)

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