A General Methodology to Quantify Biases in Natural Language Data-Reference-Cited by-同舟云学术

A General Methodology to Quantify Biases in Natural Language Data

Published:2020-04-23 Issue: Volume: Page:
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Container-title:Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
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Author:

Chen Jiawei¹,Xu Anbang²,Liu Zhe²,Guo Yufan²,Liu Xiaotong²,Tong Yingbei²,Akkiraju Rama²,Carroll John M.³

Affiliation:

1. Google, Mountain View, CA, USA

2. IBM Almaden Research Center, San Jose, CA, USA

3. Pennsylvania State University, University Park, PA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3334480.3382949

Reference34 articles.

1. Tolga Bolukbasi Kai-Wei Chang James Y Zou Venkatesh Saligrama and Adam T Kalai. 2016. Man is to computer programmer as woman is to homemaker? debiasing word embeddings. In Advances in Neural Information Processing Systems. 4349--4357. Tolga Bolukbasi Kai-Wei Chang James Y Zou Venkatesh Saligrama and Adam T Kalai. 2016. Man is to computer programmer as woman is to homemaker? debiasing word embeddings. In Advances in Neural Information Processing Systems. 4349--4357.

2. Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images

3. Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color

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