Intelligent Assistant Language Understanding On Device

It has recently become feasible to run personal digital assistants on phones and other personal devices. In this paper we describe a design for a natural language understanding system that runs on device. In comparison to a server-based assistant, this system is more private, more reliable, faster,...

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Published inarXiv.org
Main Authors Aas, Cecilia, Abdelsalam, Hisham, Belousova, Irina, Bhargava, Shruti, Cheng, Jianpeng, Daland, Robert, Driesen, Joris, Flego, Federico, Guigue, Tristan, Johannsen, Anders, Lal, Partha, Lu, Jiarui, Joel Ruben Antony Moniz, Perkins, Nathan, Piraviperumal, Dhivya, Pulman, Stephen, Diarmuid Ó Séaghdha, Sun, David Q, Torr, John, Marco Del Vecchio, Wacker, Jay, Williams, Jason D, Yu, Hong
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 07.08.2023
Subjects
Personal digital assistants
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Summary:It has recently become feasible to run personal digital assistants on phones and other personal devices. In this paper we describe a design for a natural language understanding system that runs on device. In comparison to a server-based assistant, this system is more private, more reliable, faster, more expressive, and more accurate. We describe what led to key choices about architecture and technologies. For example, some approaches in the dialog systems literature are difficult to maintain over time in a deployment setting. We hope that sharing learnings from our practical experiences may help inform future work in the research community.
ISSN:2331-8422