14,878 research outputs found
Combining Expression and Content in Domains for Dialog Managers
We present work in progress on abstracting dialog managers from their domain
in order to implement a dialog manager development tool which takes (among
other data) a domain description as input and delivers a new dialog manager for
the described domain as output. Thereby we will focus on two topics; firstly,
the construction of domain descriptions with description logics and secondly,
the interpretation of utterances in a given domain.Comment: 5 pages, uses conference.st
Assessing User Expertise in Spoken Dialog System Interactions
Identifying the level of expertise of its users is important for a system
since it can lead to a better interaction through adaptation techniques.
Furthermore, this information can be used in offline processes of root cause
analysis. However, not much effort has been put into automatically identifying
the level of expertise of an user, especially in dialog-based interactions. In
this paper we present an approach based on a specific set of task related
features. Based on the distribution of the features among the two classes -
Novice and Expert - we used Random Forests as a classification approach.
Furthermore, we used a Support Vector Machine classifier, in order to perform a
result comparison. By applying these approaches on data from a real system,
Let's Go, we obtained preliminary results that we consider positive, given the
difficulty of the task and the lack of competing approaches for comparison.Comment: 10 page
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