Knowledge graphs have become a fundamental asset for search engines. A fair amount of user queries seek information on problem-solving tasks such as building a fence or repairing a bicycle. However, knowledge graphs completely lack this kind of how-to knowledge. This paper presents a method for automatically constructing a formal knowledge base on tasks and task-solving steps, by tapping the co...

As mobile computing applications have become commonplace, it is increasingly important for them to address end-users’ privacy requirements. Mobile privacy requirements depend on a number of contextual socio-cultural factors to which mobility adds another level of contextual variation. However, traditional requirements elicitation methods do not sufficiently account for contextual factors and th...

In this work, we point out that the major dilemma of image aesthetics assessment (IAA) comes from abstract nature aesthetic labels. That is, a vast variety distinct contents can correspond to same label. On one hand, during inference, IAA model is required relate various other when training, it would be hard for learn distinguish different merely with supervision labels, since labels are not di...

Within the machine learning field, main purpose of lifelong learning, also known as continuous is to enable neural networks learn continuously, humans do. Lifelong accumulates knowledge learned from previous tasks and transfers it support network in future tasks. This technique not only avoids catastrophic forgetting problem with when training new tasks, but makes model more robust temporal evo...

Reducing complex human experiences into a psychiatric diagnosis can be a daunting task. For children with developmental disorders, this process is even more complicated and requires distilling often incomplete and frequently contradictory scientific evidence. Table 1 lists several examples of the problems of developmental psychopathology. Although far from comprehensive, this list does raise 2 ...