Paper Info
Title
Bootstrapping spoken dialogue systems by exploiting reusable libraries
Abstract
Building natural language spoken dialogue systems requires large amounts of human transcribed and labeled speech utterances to reach useful operational service performances. Furthermore, the design of such complex systems consists of several manual steps. The User Experience (UE) expert analyzes and defines by hand the system core functionalities: the system semantic scope (call-types) and the dialogue manager strategy that will drive the human–machine interaction. This approach is extensive and error-prone since it involves several nontrivial design decisions that can be evaluated only after the actual system deployment. Moreover, scalability is compromised by time, costs, and the high level of UE know-how needed to reach a consistent design. We propose a novel approach for bootstrapping spoken dialogue systems based on the reuse of existing transcribed and labeled data, common reusable dialogue templates, generic language and understanding models, and a consistent design process. We demonstrate that our approach reduces design and development time while providing an effective system without any application-specific data.
Year
DOI
Venue
2008
10.1017/S1351324907004561
Natural Language Engineering
Keywords
DocType
Volume
reusable library,dialogue manager strategy,common reusable dialogue template,system core functionalities,complex system,actual system deployment,nontrivial design decision,dialogue system,effective system,consistent design process,consistent design,user experience,design process,natural language
Journal
14
Issue
Citations 
PageRank 
3
4
0.40
References 
Authors
25
8
Name
Order
Citations
PageRank
Giuseppe Di Fabbrizio133044.45
Gokhan Tur293183.35
Dilek Hakkani-Tür3102485.05
Mazin Gilbert4627.31
bernard s renger57010.18
David C. Gibbon615321.14
Zhu Liu722730.62
Behzad Shahraray824833.12