Papers by Massimo Quadrana

1 papers
Bootstrapping a Music Voice Assistant with Weak Supervision (2021.naacl-industry)

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Challenge: Music listening is among the top-5 reasons of daily usage of voice assistants in the US.
Approach: They propose a weakly-supervised method to label large amounts of voice query logs . they show that slot tagging models outperform models trained on hand-annotated or synthetic data .
Outcome: The proposed method outperforms models trained on hand-annotated or synthetic data at a lower cost.

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