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Ethics in Natural Language Processing
lnbressa
Author: Future Analytica; Publisher: Medium; Publication Year: 2022. The following article discusses data ethics in context of natural language processing. Several types of bias that we need to watch out for are learning bias, evaluation bias, aggregation bias, and deployment bias. One big thing to consider is the usage of slang and how slang evolves.…
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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
lnbressa
Author: Emily M. Bender, Batya Friedman; Publisher: MIT Press Direct; Publication Year: 2018. In the following paper, data statements are proposed as a design solution and professional practice for natural language processing technologists, in both research and development…
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