Characterizing Bias in Word Embeddings Towards Analyzing Gender Associations in Philippine Texts

• المؤلفون الرئيسيون: Gamboa, Lance Calvin, Estuar, Ma. Regina Justina
• التنسيق: text
• منشور في: Archīum Ateneo 2023
• الموضوعات: gender bias; natural language processing; Philippines; sexism; word embedding association; Artificial Intelligence and Robotics; Computer Engineering; Electrical and Computer Engineering; Engineering
• الوصول للمادة أونلاين: https://archium.ateneo.edu/discs-faculty-pubs/365; https://doi.org/10.1109/AIC57670.2023.10263949

The steady increase in computational gender bias research has been mostly done on languages for which reliable NLP packages are readily available - such as English, Chinese, and Spanish. This study expands on this area of research by using word embedding bias analysis methods in the Philippine conte...