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An overview of end-to-end language understanding and dialog management for personal digital assistants | IEEE Conference Publication | IEEE Xplore

An overview of end-to-end language understanding and dialog management for personal digital assistants


Abstract:

Spoken language understanding and dialog management have emerged as key technologies in interacting with personal digital assistants (PDAs). The coverage, complexity, and...Show More

Abstract:

Spoken language understanding and dialog management have emerged as key technologies in interacting with personal digital assistants (PDAs). The coverage, complexity, and the scale of PDAs are much larger than previous conversational understanding systems. As such, new problems arise. In this paper, we provide an overview of the language understanding and dialog management capabilities of PDAs, focusing particularly on Cortana, Microsoft's PDA. We explain the system architecture for language understanding and dialog management for our PDA, indicate how it differs with prior state-of-the-art systems, and describe key components. We also report a set of experiments detailing system performance on a variety of scenarios and tasks. We describe how the quality of user experiences are measured end-to-end and also discuss open issues.
Date of Conference: 13-16 December 2016
Date Added to IEEE Xplore: 09 February 2017
ISBN Information:
Conference Location: San Diego, CA, USA

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