This paper presents a semiautomatic method for generating commonsense axioms. The
method relies on three metarules that process a few commonsense rules referring to some …

This paper presents a semantically grounded method for extracting commonsense
knowledge. First, commonsense rules are identified, eg, one cannot see imaginary objects …

In this paper we introduce three methods for automatic generality evaluation of
commonsense statements candidates generated for Open Mind Common Sense (OMCS) …

ConceptNet is a very large semantic network of commonsense knowledge suitable for
making various kinds of practical inferences over text. ConceptNet captures a wide range of …

This paper describes our effort to build a large-scale commonsense knowledge base in
Korean by converting a pre-existing one in English, called ConceptNet. The English …

Putting human commonsense knowledge into computers has always been a long standing
dream of artificial intelligence (AI). The cost of several tens of millions of dollars and times …

Commonsense knowledge representation and reasoning support a wide variety of potential
applications in fields such as document auto-categorization, Web search enhancement …

Common sense collection has long been an important subfield of AI. This paper introduces a
combined architecture for commonsense harvesting by text mining and a game with a …

This paper presents a method for automatically constructing a large commonsense
knowledge base, called WebChild, from Web contents. WebChild contains triples that …

The invention relates to natural language processing, commonsense reasoning, and
knowledge representation. In particular, the invention relates to the representation of …