How to enable intelligent machines to possess human commonsense knowledge is one of
the central concerns of artificial intelligence. Consequently, a series of commonsense …

This paper presents a method for building a large commonsense knowledge graph about
attributes of concepts, called CKGAC. CKGAC contains triples that connect concepts (nouns) …

Commonsense knowledge acquisition is one of the fundamental issues in realizing human-
level AI. However, commonsense knowledge is difficult to obtain because it is a human …

Commonsense knowledge is a crucial resource to help the machine understand the human
world. However, the conventional methods of extracting commonsense knowledge with isA …

Imparting human-like commonsense to machines is a long-term goal in the artificial
intelligence community. To achieve this goal, constructing large-scale commonsense …

Commonsense knowledge acquisition and reasoning have long been a core artificial
intelligence problem. However, in the past, there has been a lack of scalable methods to …

Good and generous knowledge sources, reliable and efficient induction patterns, and
automatic and controllable quality assertion approaches are three critical issues to …

Commonsense knowledge acquisition and representation is a core topic in artificial
intelligence (AI), which is crucial for building more sophisticated and human-like AI systems …

Commonsense knowledge about everyday concepts is an important asset for AI
applications, such as question answering and chatbots. Recently, we have seen an …

Commonsense knowledge (CSK) about concepts and their properties is helpful for AI
applications. Prior works, such as ConceptNet, have compiled large CSK collections …