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De-Bias for Generative Extraction in Unified NER Task

Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 47× · AI/ML
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De-Bias for Generative Extraction in Unified NER Task

Summary

De-Bias for Generative Extraction in Unified NER Task is a scholarly article[1].

Key Facts

  • De-Bias for Generative Extraction in Unified NER Task's instance of is recorded as scholarly article[2].

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). De-Bias for Generative Extraction in Unified NER Task. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-bias-for-generative-extraction-in-unified-ner-task
MLA “De-Bias for Generative Extraction in Unified NER Task.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-bias-for-generative-extraction-in-unified-ner-task.
BibTeX @misc{4ortxyz_de-bias-for-generative-extraction-in-unified-ner-task_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De-Bias for Generative Extraction in Unified NER Task}}, year = {2026}, url = {https://4ort.xyz/entity/de-bias-for-generative-extraction-in-unified-ner-task}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De-Bias for Generative Extraction in Unified NER Task — https://4ort.xyz/entity/de-bias-for-generative-extraction-in-unified-ner-task (retrieved 2026-05-24)

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