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We focus on improving the effectiveness of a Virtual Assistant (VA) in recognizing emerging entities in spoken queries. We introduce a method that uses historical user interactions to forecast which entities will gain in popularity and become trending, and it subsequently integrates the predictions within the Automated Speech Recognition (ASR) component of the VA. Experiments show that our proposed approach results in a 20% relative reduction in errors on emerging entity name utterances without degrading the overall recognition quality of the system.

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Apple at SIGIR 2020

Apple is sponsoring the forty-third Special Interest Group on Information Retrieval (SIGIR) Conference, which will be held virtually from July 25 to 30. SIGIR is a leading international forum focused on presenting new research in the informational retrieval field.

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