Amazon Developer Blogs

Amazon Developer Blogs

Showing posts by Young-Bum Kim

December 17, 2018

Young-Bum Kim

Data representation schemes — such as "embeddings" — are a hot topic in machine learning. At this year's IEEE Spoken Language Technologies conference, Alexa scientists present a new representation scheme that cuts skill selection error rate by 40%.

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October 31, 2018

Young-Bum Kim

Amazon researcher Young-Bum Kim describes some new modifications to the machine learning model that selects the one skill out of thousands best suited to a particular customer request.

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September 04, 2018

Young-Bum Kim

Classifying "domains", or topics of conversation, is so central to natural-language understanding that some systems have modules that just look for out-of-domain utterances. Amazon researchers show that training out-of-domain classifiers together with domain recognizers improves their performance.

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June 08, 2018

Young-Bum Kim

Amazon science leader Young-Bum Kim describes the HypRank neural model, which performs the second step in the two-step process that Alexa uses to select the best skill to handle a given utterance.

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June 07, 2018

Young-Bum Kim

Amazon science leader Young-Bum Kim describes the Shortlister neural model, which performs the first step in the two-step process that Alexa uses to select the best skill to handle a given utterance.

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