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Colleen Alkalay-Houlihan

1 accepted papers

2019

Understanding the Origins of Bias in Word Embeddings

ICML 2019oral

Popular word embedding algorithms exhibit stereotypical biases, such as gender bias. The widespread use of these algorithms in machine learning systems can amplify stereotypes in important contexts. Although some methods have been developed to mitigate this problem, how word embedding biases arise d…