Commonsense Learning: An Indispensable Path towards Human-centric Multimedia

Learning commonsense knowledge and conducting commonsense reasoning are basic human ability to make presumptions about the type and essence of ordinary situation in daily life, which serve as very important goals in human-centric Artificial Intelligence (AI). With the increasing number of media types and quantities provided by various Internet services, commonsense learning and reasoning with no doubt are playing key roles in making progresses for human-centric multimedia analysis. Therefore, this paper first introduces the basic concept of commonsense knowledge and commonsense reasoning, then summarizes commonsense resources and benchmarks, gives an overview on recent commonsense learning and reasoning methods, and discusses several popular applications of commonsense knowledge in real-world scenarios. This work distinguishes itself from existing literature that merely pays attention to natural language processing in focusing more on multimedia which include both natural language processing and computer vision. Furthermore, we also present our insights and thinking on future research directions for commonsense.