On the Unintended Social Bias of Training Language Generation Models with Data from Local Media

There are concerns that neural language models may preserve some of the stereotypes of the underlying societies that generate the large corpora needed to train these models. For example, gender bias is a significant problem when generating text, and its unintended memorization could impact the user...

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Bibliographische Detailangaben

1. Verfasser:	Florez, Omar U
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Learning
Online-Zugang:	Volltext bestellen
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