Name
Abstract | ||
|---|---|---|
This paper proposes an unsupervised spoken language understanding (SLU) framework for a multi-domain dialog system. Our unsupervised SLU framework applies a non-parametric Bayesian approach to dialog acts, intents and slot entities, which are the components of a semantic frame. The proposed approach reduces the human effort necessary to obtain a semantically annotated corpus for dialog system development. In this study, we analyze clustering results using various evaluation metrics for four dialog corpora. We also introduce a multi-domain dialog system that uses the unsupervised SLU framework. We argue that our unsupervised approach can help overcome the annotation acquisition bottleneck in developing dialog systems. To verify this claim, we report a dialog system evaluation, in which our method achieves competitive results in comparison with a system that uses a manually annotated corpus. In addition, we conducted several experiments to explore the effect of our approach on reducing development costs. The results show that our approach be helpful for the rapid development of a prototype system and reducing the overall development costs. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TASL.2013.2280212 | IEEE Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
clustering result,dialog corpora,semantic frame component,human computer interaction,unsupervised spoken language understanding framework,overall development cost reduction,nonparametric bayesian approach,multidomain dialog system,dialog system,evaluation metrics,dialog acts,unsupervised slu framework,dialog system development,annotation acquisition bottleneck,natural language processing,interactive systems,slot entities,dialog system evaluation,spoken language understanding,unsupervised learning | Dialog box,Bottleneck,Computer science,Semantic interpretation,Unsupervised learning,Natural language processing,Artificial intelligence,Dialog system,Cluster analysis,Spoken language,Annotation,Speech recognition,Machine learning | Journal |
Volume | Issue | ISSN |
21 | 11 | 1558-7916 |
Citations | PageRank | References |
7 | 0.48 | 39 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donghyeon Lee | 1 | 82 | 8.06 |
| Minwoo Jeong | 2 | 142 | 13.89 |
| Kyungduk Kim | 3 | 154 | 12.10 |
| Seonghan Ryu | 4 | 23 | 5.73 |
| Gary Geunbae Lee | 5 | 932 | 93.23 |