Name Gender

Name-based gender prediction aims to automatically assign gender based on personal names, a crucial task for various research fields needing gender data but lacking it directly. Current research focuses on improving accuracy, particularly for names outside the traditional binary male/female framework, using techniques like multi-task learning, knowledge distillation, and graph attention networks, often tailored to specific languages and character systems. These advancements are vital for mitigating gender bias in large datasets and ensuring fair representation across diverse populations in scientific studies and practical applications.