Pulse Explore Journal Club Debates Trending Researchers Journals

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

Home Explore Journal Club Trending

⌘+K

Benchmarking Intersectional Biases in NLP | Synapse

January 1, 2022Open Access

Benchmarking Intersectional Biases in NLP

JLJohn LalorUniversity of Notre Dame YYYi YangSouth China Agricultural University KSKendall A. SmithUniversitas Iba

Key Points

Key points are not available for this paper at this time.

Abstract

John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Ask AI

Helpful

Bookmark

Share

View Full Paper

Ask AI

Helpful

Bookmark

Share

View Full Paper

Cite This Study

Lalor et al. (Sat,) studied this question.

synapsesocial.com/papers/6a1310fc86514ddae6c11654 https://doi.org/https://doi.org/10.18653/v1/2022.naacl-main.263

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts2022 · 114 citations
2Debiasing Pre-trained Contextualised Embeddings2021 · 85 citations
3Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness2017 · 306 citations
4Big Data's Disparate Impact2016 · 2,173 citations
5Assessing Social and Intersectional Biases in Contextualized Word\n Representations2019 · 93 citations