On-Line Learning of a Persian Spoken Dialogue System Using Real Training Data
Publish place: Journal of Advances in Computer Research، Vol: 1، Issue: 2
Publish Year: 1389
Type: Journal paper
Language: English
View: 609
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_JACR-1-2_004
Index date: 6 September 2016
On-Line Learning of a Persian Spoken Dialogue System Using Real Training Data abstract
The first spoken dialogue system developed for the Persian language isintroduced. This is a ticket reservation system with Persian ASR and NLU modules.The focus of the paper is on learning the dialogue management module. In thiswork, real on-line training data are used during the learning process. For on-linelearning, the effect of the variations of discount factor (g) on the learning speed isinvestigated as the second contribution of the research. The optimal values for gwere found and the variation pattern of the action-value function (Q) in the learningprocess was obtained. A probabilistic policy for selecting actions is used in thiswork for the first time instead of greedy policies employed in previous works
On-Line Learning of a Persian Spoken Dialogue System Using Real Training Data Keywords:
On-Line Learning of a Persian Spoken Dialogue System Using Real Training Data authors
Maryam Habibi
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Hossein Sameti
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Hesam Setareh
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran