Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Teaching Machines about Everyday Life
BT Technology Journal
ComicKit: acquiring story scripts using common sense feedback
Proceedings of the 10th international conference on Intelligent user interfaces
Representation and Management of Narrative Information: Theoretical Principles and Implementation
Representation and Management of Narrative Information: Theoretical Principles and Implementation
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Turing's dream and the knowledge challenge
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
An architecture of diversity for commonsense reasoning
IBM Systems Journal
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In natural language, there are many gaps between what is stated and what is understood. Speakers and listeners fill in these gaps, presumably from some life experience, but no one knows how to get this experiential data into a computer. As a first step, we have created a methodology and software interface for collecting commonsense data about simple experiences. This work is intended to form the basis of a new resource for natural language processing. We model experience as a sequence of comic frames, annotated with the changing intentional and physical states of the characters and objects. To create an annotated experience, our software interface guides non-experts in identifying facts about experiences that humans normally take for granted. As part of this process, the system asks questions using the Socratic Method to help users notice difficult-to-articulate commonsense data. A test on ten subjects indicates that non-experts are able to produce high quality experiential data.