Casanueva, I., Hain, T., Nicolao, M. et al. (1 more author) (2016) Using phone features to improve dialogue state tracking generalisation to unseen states. In: Proceeding of SIGDIAL 2016. The 17th Annual SIGdial Meeting on Discourse and Dialogue, 13-15 Sep 2016, Los Angeles, USA. ISBN 978-1-945626-23-4
Abstract
The generalisation of dialogue state tracking to unseen dialogue states can be very challenging. In a slot-based dialogue system, dialogue states lie in discrete space where distances between states cannot be computed. Therefore, the model parameters to track states unseen in the training data can only be estimated from more general statistics, under the assumption that every dialogue state will have the same underlying state tracking behaviour. However, this assumption is not valid. For example, two values, whose associated concepts have different ASR accuracy, may have different state tracking performance. Therefore, if the ASR performance of the concepts related to each value can be estimated, such estimates can be used as general features. The features will help to relate unseen dialogue states to states seen in the training data with similar ASR performance. Furthermore, if two phonetically similar concepts have similar ASR performance, the features extracted from the phonetic structure of the concepts can be used to improve generalisation. In this paper, ASR and phonetic structurerelated features are used to improve the dialogue state tracking generalisation to unseen states of an environmental control system developed for dysarthric speakers.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Association for Computational Linguistics. This is an author produced version of a paper subsequently published in Proceeding of SIGDIAL 2016. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Dec 2016 15:18 |
Last Modified: | 19 Dec 2022 13:35 |
Published Version: | http://www.sigdial.org/workshops/conference17/proc... |
Status: | Published |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109269 |