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 …

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

Inferring commonsense knowledge is a key challenge in natural language processing, but
due to the sparsity of training data, previous work has shown that supervised methods for …

Inferring commonsense knowledge is a key challenge in machine learning. Due to the
sparsity of training data, previous work has shown that supervised methods for …

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 …

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

Commonsense knowledge acquisition is a key problem for artificial intelligence.
Conventional methods of acquiring commonsense knowledge generally require laborious …

Text mining has been very successful in extracting huge amounts of commonsense
knowledge from data, but the extracted knowledge tends to be extremely noisy. Manual …

Rule mining is an effective approach for reasoning over knowledge graph (KG). Existing
works mainly concentrate on mining rules. However, there might be several rules that could …

Commonsense generation is a challenging task of generating a plausible sentence
describing an everyday scenario using provided concepts. Its requirement of reasoning over …