CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
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
Learner: a system for acquiring commonsense knowledge by analogy
Proceedings of the 2nd international conference on Knowledge capture
Building large knowledge bases by mass collaboration
Proceedings of the 2nd international conference on Knowledge capture
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
How to build a WebFountain: An architecture for very large-scale text analytics
IBM Systems Journal
Methods for domain-independent information extraction from the web: an experimental comparison
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Evaluating classifiers by means of test data with noisy labels
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Collecting paraphrase corpora from volunteer contributors
Proceedings of the 3rd international conference on Knowledge capture
Games for sketch data collection
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
An analysis of knowledge collected from volunteer contributors
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Shortipedia aggregating and curating Semantic Web data
Web Semantics: Science, Services and Agents on the World Wide Web
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A new generation of intelligent applications can be enabled by broad-coverage knowledge repositories about everyday objects. We distill lessons in design of intelligent user interfaces which collect such broad-coverage knowledge from untrained volunteers. We motivate the knowledge-driven template-based approach adopted in Learner2, a second generation proactive acquisition interface for eliciting such knowledge. We present volume, accuracy, and recall of knowledge collected by fielding the system for 5 months. Learner2 has so far acquired 99,018 general statements, emphasizing knowledge about parts of and typical uses of objects.