Abstract
This article presents the first attempt to construct a computational model of common ground. Four corpus-based metrics are presented that estimate what facts are likely to be in common ground. The proposed metrics were evaluated in an experiment with human participants, focussing on a domain of famous people. The results are encouraging: two of the proposed metrics achieved a large positive correlation between the estimates of how widely known a property of a famous person is and the percentage of participants who knew the corresponding property.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 34th Annual Conference of the Cognitive Science Society |
| Place of Publication | Sapporo, Japan |
| Publisher | Cognitive Science Society |
| Pages | 1834-1839 |
| Number of pages | 6 |
| ISBN (Print) | 978-0-9768318-8-4 |
| Publication status | Published - 2012 |
Keywords
- corpus based metrics
- community common ground