Human Knowledge Based Efficient Interactive Data Annotation via Active Weakly Supervised Learning

Machine learning has been contributing significantly to various pervasive computing systems. Further diffusion of such systems will require reducing the obstacles of huge data annotation costs and the uninterpretability. Weakly supervised learning is gaining attention as a method to solve these problems, especially in natural language processing (NLP). Its advantage is due to human-defined labelin...