منابع مشابه
Reducing gender bias in word embeddings
Word embedding is a popular framework that represents text data as vectors of real numbers. These vectors capture semantics in language, and are used in a variety of natural language processing and machine learning applications. Despite these useful properties, word embeddings derived from ordinary language corpora necessarily exhibit human biases [6]. We measure direct and indirect gender bias...
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ژورنال
عنوان ژورنال: British Journal of Surgery
سال: 2018
ISSN: 0007-1323,1365-2168
DOI: 10.1002/bjs.11042