Publication | Closed Access
An interface for targeted collection of common sense knowledge using a mixture model
24
Citations
19
References
2009
Year
Unknown Venue
Artificial IntelligenceGame AiEngineeringKnowledge ExtractionIntelligent SystemsKnowledge-based ReasoningSemanticsSemantic WebText MiningTargeted CollectionNatural Language ProcessingInformation RetrievalData ScienceGame-based InterfaceComputational LinguisticsMixture ModelLanguage StudiesEducational GameGame DesignCognitive ScienceKnowledge AcquisitionKnowledge DiscoveryGame AnalyticsLearning AnalyticsAutomated Knowledge AcquisitionTraditional Knowledge-acquisition InterfaceKnowledge ModelingAutomated ReasoningCommon Sense KnowledgeLinguistics
We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process to learn about the most salient characteristics of a particular concept. We use statistical classification methods to discover the most informative characteristics in the Open Mind Common Sense knowledge base, and use these characteristics to play a game of 20 Questions with the user. Our interface also allows users to enter knowledge more quickly than a more traditional knowledge-acquisition interface. An evaluation showed that users enjoyed the game and that it increased the speed of knowledge acquisition.
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