An interface for targeted collection of common sense knowledge using a mixture model

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. Author Keywords Common sense reasoning, human computation, hierarchical Bayes model, knowledge acquisition ACM Classification Keywords H.5.2 Information Interfaces and Presentation: User Interfaces—Natural Language

• Type: Conference
• Year: 2009
• Where: IUI
• Authors: Robert Speer, Jayant Krishnamurthy, Catherine Havasi, Dustin Smith, Henry Lieberman, Kenneth Arnold
• Keywords: Common Sense Knowledge, IUI 2009, Knowledge Acquisition Acm, Sense Knowledge Base, Software Engineering