Title
Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation
Abstract
Tracking the user's intention throughout the course of a dialog, called dialog state tracking, is an important component of any dialog system. Most existing spoken dialog systems are designed to work in a static, well-defined domain, and are not well suited to tasks in which the domain may change or be extended over time. This paper shows how recurrent neural networks can be effectively applied to tracking in an extended domain with new slots and values not present in training data. The method is evaluated in the third Dialog State Tracking Challenge, where it significantly outperforms other approaches in the task of tracking the user's goal. A method for online unsupervised adaptation to new domains is also presented. Unsupervised adaptation is shown to be helpful in improving word-based recurrent neural networks, which work directly from the speech recognition results. Word-based dialog state tracking is attractive as it does not require engineering a spoken language understanding system for use in the new domain and it avoids the need for a general purpose intermediate semantic representation.
Year
DOI
Venue
2014
10.1109/SLT.2014.7078601
Spoken Language Technology Workshop
Keywords
Field
DocType
interactive systems,natural language processing,recurrent neural nets,speech recognition,delexicalised recurrent neural networks,online unsupervised adaptation,robust dialog state tracking,speech recognition,spoken dialog systems,spoken language understanding system,third Dialog State Tracking Challenge,user intention tracking,word-based dialog state tracking,word-based recurrent neural networks,Dialog state tracking,dialog systems,spoken language understanding
Dialog box,Training set,Spoken dialog systems,General purpose,Computer science,Recurrent neural network,Speech recognition,Dialog system,Artificial intelligence,Natural language processing,Semantic representation,Spoken language
Conference
ISSN
Citations 
PageRank 
2639-5479
24
1.07
References 
Authors
13
3
Name
Order
Citations
PageRank
Matthew Henderson11588.90
Blaise Thomson2122560.42
S. J. Young31174193.63