Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
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This paper presents the design of the machine learning architecture that underlies the Alexa Skills Kit (ASK), which was the first Spoken Language Understanding (SLU) Software Development Kit (SDK) for a virtual digital assistant, as far as we are aware. At Amazon, the infrastructure powers more than 25,000 skills built through the ASK, as well as AWS's Amazon Lex SLU Service. The ASK emphasizes flexibility, predictability and a rapid iteration cycle for third party developers. It imposes inductive biases that allow it to learn robust SLU models from extremely small and sparse datasets and, in doing so, removes significant barriers to entry for software developers and dialog systems researchers.
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