Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations-Reference-Cited by-同舟云学术

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
language:
Short-container-title:

Author:

Badjatiya Pinkesh¹,Gupta Manish¹,Varma Vasudeva¹

Affiliation:

1. IIIT Hyderabad, India

Publisher

ACM Press

Reference22 articles.

1. Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, and Vasudeva Varma. 2017. Deep learning for hate speech detection in tweets. In Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, 759-760.

2. Alex Beutel, Jilin Chen, Zhe Zhao, and Ed H Chi. 2017. Data decisions and theoretical implications when adversarially learning fair representations. arXiv preprint arXiv:1707.00075(2017).

3. Su Lin Blodgett and Brendan O'Connor. 2017. Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English. arXiv preprint arXiv:1707.00061(2017).

4. 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.

5. Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017. Semantics derived automatically from language corpora contain human-like biases. Science356, 6334 (2017), 183-186.

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