We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge. Our dataset complements similar datasets in that we focus on stories about everyday activities, such as going to the movies or working in the garden, and that the questions require commonsense knowledge, or more...

Commonsense knowledge of large-scale space (the cog-nitive map) includes several diierent types of knowledge: of sensorimotor, topological, and metrical spatial relationships. Sensorimotor knowledge is deened as that knowledge which is necessary to reconstruct a route from memory after travel along that route in a large-scale environment. A representation for route knowledge is proposed with su...

Commonsense knowledge of large-scale space (the cognitive map) includes several different types of knowledge: of sensorimotor, topological, and metrical spatial relationships. Sensorimotor knowledge is defined as that knowledge which is necessary to reconstruct a route from memory after travel along that route in a large-scale environment. A representation for route knowledge is proposed with s...

MC& CYC project is the building, over the coming decade, of a large knowledge base (or KB) of real world facts and heuristics and-as a part of the KB itself-methods for efficiently reasoning over the KB. As the title of this article suggests, our hypothesis is that the two major limitations to building large intelligent programs might be overcome by using such a system. We briefly illustrate ho...

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 purpose. The text miner module uses a seed set of known facts (sampled from ConceptNet) as training data and produces candidate commonsense facts mined from corpora. The game module taps humans’ knowledge about the world by ...

An important difference between traditional AI systems and human intelligence is the human ability to harness commonsense knowledge gleaned from a lifetime of learning and experience to make informed decisions. This allows humans to adapt easily to novel situations where AI fails catastrophically due to a lack of situation-specific rules and generalization capabilities. Commonsense knowledge al...

This paper shows how a common sense knowledge base, collected from volunteers over the web, can be used by teachers to plan Learning Actions for preparing students to interact with the community where the common sense statements came from. Consequently, this knowledge base can help teachers to deal with some challenges they face when they adopt a DL approach.

Emotion knowledge is a fundamental part of human commonsense knowledge. For the lack of solid knowledge extraction work in this domain, this paper focuses on acquiring and representing the antecedent situations of various emotions as well as the emotion subjects’ interpretation to these situations in real-world emotion-eliciting scenarios. After a comprehensive analysis on the meaning structure...

The Open Mind Common Sense project is an attempt to construct a database of commonsense knowledge through the collaboration of a distributed community of thousands of non-expert netizens. We give an overview of the project, describe our knowledge acquisition and representation strategy of using natural language rather than formal logic, and demonstrate this strategy with a search engine applica...