Transfer learning is the technique of adapting a machine learning model trained on abundant data to a new context in which training data is sparse.On the ...
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Traditionally, Alexa has interpreted customer requests according to their intents and slots. If you say, “Alexa, play ‘What’s Going On?’ by Marvin Gaye,” ...
Recently, we published a paper showing that training a neural network to do language processing in English, then retraining it in German, drastically ...
At next week’s Interspeech, the largest conference on the science and technology of spoken-language processing, Alexa researchers have 16 papers, which span ...
In the past year, we’ve published several papers demonstrating that a natural-language-understanding model trained in one language, then re-trained in ...
The last few years have seen great advances in the design of language models, which are a critical component of language-based AI systems. Language models ...
The International Conference on Learning Representations (ICLR), which will be virtual this year and begins next week, is only eight years old. But ...
Transfer learning is a widely used technique for improving the performance of neural networks when labeled training data is scarce. Before a network is ...
“Alexa, ask Samuel L. Jackson for the weather.”Samuel L. Jackson: “It’s cloudy with a chance of me.”Amazon released the Samuel L. Jackson celebrity voice in ...
To help promote research on generalizing task-oriented dialogue agents to new contexts, Amazon Alexa has launched a dialogue-based AI challenge on the ...