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 …

ConceptNet is a freely available commonsense knowledge base and natural-language-
processing tool-kit which supports many practical textual-reasoning tasks over real-world …

Abstract The Open Mind Common Sense project has been collecting commonsense
knowledge from volunteers on the Internet since 2000. This knowledge is represented in a …

Abstract The Open Mind Common Sense project has been collecting common-sense
knowledge from volunteers on the Internet since 2000. This knowledge is represented in a …

Commonsense reasoning requires extensive knowledge. In order to be useful for practical
arti cial intelligence problems, a knowledge base needs to have millions of concepts and …

Cyc is the largest existing common-sense knowledge base. Its ontology makes heavy use of
higher-order logic constructs such as a context system, first class predicates, etc. Many of …

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

The reader of a text actively constructs a rich picture of the objects, events, and situation
described. The text is a vague, insufficient, and ambiguous indicator of the world that the …

In this paper we present COCO-EX, a tool for Extracting Concepts from texts and linking
them to the ConceptNet knowledge graph. COCO-EX extracts meaningful concepts from …

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 …