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Scaling Within Document Coreference to Long Texts

Research article (Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021) · cited 13× · AI/ML
academia openalex:W3174331410
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Scaling Within Document Coreference to Long Texts

Summary

Scaling Within Document Coreference to Long Texts is a scholarly article[1].

Key Facts

  • Scaling Within Document Coreference to Long Texts'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). Scaling Within Document Coreference to Long Texts. Retrieved May 24, 2026, from https://4ort.xyz/entity/scaling-within-document-coreference-to-long-texts
MLA “Scaling Within Document Coreference to Long Texts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scaling-within-document-coreference-to-long-texts.
BibTeX @misc{4ortxyz_scaling-within-document-coreference-to-long-texts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scaling Within Document Coreference to Long Texts}}, year = {2026}, url = {https://4ort.xyz/entity/scaling-within-document-coreference-to-long-texts}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scaling Within Document Coreference to Long Texts — https://4ort.xyz/entity/scaling-within-document-coreference-to-long-texts (retrieved 2026-05-24)

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