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Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction
Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 12× · AI/ML
Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction
Summary
Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction is a scholarly article[1].
Key Facts
Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction. Retrieved May 24, 2026, from https://4ort.xyz/entity/divide-and-denoise-learning-from-noisy-labels-in-fine-grained-entity-typing-with-cluster-wise-loss-correction
MLA“Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/divide-and-denoise-learning-from-noisy-labels-in-fine-grained-entity-typing-with-cluster-wise-loss-correction.
BibTeX@misc{4ortxyz_divide-and-denoise-learning-from-noisy-labels-in-fine-grained-entity-typing-with-cluster-wise-loss-correction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction}}, year = {2026}, url = {https://4ort.xyz/entity/divide-and-denoise-learning-from-noisy-labels-in-fine-grained-entity-typing-with-cluster-wise-loss-correction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction — https://4ort.xyz/entity/divide-and-denoise-learning-from-noisy-labels-in-fine-grained-entity-typing-with-cluster-wise-loss-correction (retrieved 2026-05-24)
