Name
Abstract | ||
|---|---|---|
In this paper we describe Scusi? , the speech interpretation component of a spoken dialogue module designed for an autonomous robotic agent. Scusi? postulates and maintains multiple interpretations of the spoken discourse, and employs a probabilistic formalism to assess and rank hypotheses regarding the meaning of spoken utterances. These constituents in combination enable Scusi? to cope gracefully with ambiguity and speech recognition errors. The results of our evaluation are encouraging, yielding good interpretation performance for utterances of different types and lengths. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-89197-0_53 | PRICAI |
Keywords | Field | DocType |
good interpretation performance,speech interpretation component,dialogue module,multiple interpretation,spoken utterances,probabilistic approach,probabilistic formalism,autonomous robotic agent,different type,speech recognition error,rank hypothesis,speech recognition | Parse tree,Computer science,Interpretation Process,Speech recognition,Natural language processing,Artificial intelligence,Probabilistic logic,Formalism (philosophy),Ambiguity | Conference |
Volume | ISSN | Citations |
5351 | 0302-9743 | 12 |
PageRank | References | Authors |
0.76 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ingrid Zukerman | 1 | 994 | 113.39 |
| Enes Makalic | 2 | 55 | 11.54 |
| Michael Niemann | 3 | 22 | 3.22 |
| Sarah George | 4 | 15 | 1.22 |