Active Learning for Domain Classification in a Commercial Spoken Personal Assistant

29 Aug 2019Xi C. ChenAdithya SagarJustine T. KaoTony Y. LiChristopher KleinStephen PulmanAshish GargJason D. Williams

We describe a method for selecting relevant new training data for the LSTM-based domain selection component of our personal assistant system. Adding more annotated training data for any ML system typically improves accuracy, but only if it provides examples not already adequately covered in the existing data... (read more)

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