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| Content Provider | ACM Digital Library |
|---|---|
| Author | Havasi, Catherine Arnold, Kenneth Smith, Dustin Krishnamurthy, Jayant Lieberman, Henry Speer, Robert |
| Abstract | 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. |
| Starting Page | 137 |
| Ending Page | 146 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781605581682 |
| DOI | 10.1145/1502650.1502672 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-02-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Human computation Knowledge acquisition Common sense reasoning Hierarchical bayes model |
| Content Type | Text |
| Resource Type | Article |
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