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MABEL: Attenuating Gender Bias using Textual Entailment Data

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 15× · AI/ML
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MABEL: Attenuating Gender Bias using Textual Entailment Data

Summary

MABEL: Attenuating Gender Bias using Textual Entailment Data is a scholarly article[1].

Key Facts

  • MABEL: Attenuating Gender Bias using Textual Entailment Data'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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APA 4ort.xyz Knowledge Graph. (2026). MABEL: Attenuating Gender Bias using Textual Entailment Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/mabel-attenuating-gender-bias-using-textual-entailment-data
MLA “MABEL: Attenuating Gender Bias using Textual Entailment Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mabel-attenuating-gender-bias-using-textual-entailment-data.
BibTeX @misc{4ortxyz_mabel-attenuating-gender-bias-using-textual-entailment-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MABEL: Attenuating Gender Bias using Textual Entailment Data}}, year = {2026}, url = {https://4ort.xyz/entity/mabel-attenuating-gender-bias-using-textual-entailment-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MABEL: Attenuating Gender Bias using Textual Entailment Data — https://4ort.xyz/entity/mabel-attenuating-gender-bias-using-textual-entailment-data (retrieved 2026-05-24)

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