Bias Identification and Attribution in NLP Models With Regression and Effect Sizes

In recent years, there has been an increasing awareness that many NLP systems incorporate biases of various types (e.g., regarding gender or race) which can have significant negative consequences. At the same time, the techniques used to statistically analyze such biases are still relatively simple...

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Bibliographic Details
Main Authors: Erenay Dayanik, Ngoc Thang Vu, Sebastian Padó
Format: Article
Language:English
Published: Linköping University Electronic Press 2022-08-01
Series:Northern European Journal of Language Technology
Online Access:https://nejlt.ep.liu.se/article/view/3505
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