Attempts to Eliminate Gender Bias in Natural Language Proces

Scientists have discovered an improved way to reduce gender bias in natural language recognition models while conserving key info about words and meanings.

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Canada , United Kingdom , Mila Perera , Department Of Mathematical , University Of Alberta , Statistical Sciences , United Kingdom Artificial Intelligence Initiative , Computers Do , Eliminate Gender Bias , Natural Language , Lei Ding , Associate Professor , Ethnic Labor Market Equality ,