Name
Abstract | ||
|---|---|---|
This paper reports on an experiment that investigates clarification subdialogues in intentionally noisy speech recognition. The architecture learns weights for mixtures of grounding strategies from examples provided by a human wizard embedded in the system. Results indicate that the architecture learns to eliminate misunderstandings reliably despite high word error rate. |
Year | Venue | Keywords |
|---|---|---|
2011 | SIGDIAL Conference | high word error rate,noisy speech recognition,dialogue system,paper report,clarification subdialogues,human wizard |
Field | DocType | Citations |
Architecture,Computer science,Word error rate,Ground,Artificial intelligence,Natural language processing,Wizard,Machine learning | Conference | 6 |
PageRank | References | Authors |
0.49 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joshua Gordon | 1 | 7 | 1.91 |
| Rebecca J. Passonneau | 2 | 978 | 160.46 |
| Susan L. Epstein | 3 | 253 | 54.78 |