التحيز بين الجنسين في Adgeddings تصبح تدريجيا حقل بحثي حية في السنوات الأخيرة.تهدف معظم الدراسات في هذا المجال إلى أساليب القياس والدولي مع اللغة الإنجليزية كلغة الهدف.تحقق هذه الورقة في التحيز بين الجنسين في تضيير كلمة ثابتة من منظور فريد من منظور صيني.من خلال التدريب على تمثيلات الكلمات مع نماذج مختلفة، يتم تقييم التحيز بين الجنسين وراء ناقلات الصفات.من خلال مقارنة بين النتائج المنتجة ومجموعة بيانات مسجلة بشرية، نوضح كيف يميز التحيز بين الجنسين المشفرة في AdmBeddings من مواقف الناس.
Gender bias in word embeddings gradually becomes a vivid research field in recent years. Most studies in this field aim at measurement and debiasing methods with English as the target language. This paper investigates gender bias in static word embeddings from a unique perspective, Chinese adjectives. By training word representations with different models, the gender bias behind the vectors of adjectives is assessed. Through a comparison between the produced results and a human scored data set, we demonstrate how gender bias encoded in word embeddings differentiates from people's attitudes.
References used
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