How might AI assistants like Google Assistant better support new services without the need for additional data and retraining? That’s the question Google researchers sought to answer in a recent study, which introduces an approach that uses a model across services without domain-specific parameters. As a part of it, the team released a corpus — the Schema-Guided Dialogue (SGD) corpus — that they claim is the largest publicly available compilation of task-oriented dialogues.

“Today’s virtual assistants help users to accomplish a wide variety of tasks, including finding flights, searching for nearby events and movies, making reservations, sourcing information from the web and more,” wrote software engineer Abhinav Rastogi and Google Research engineering lead Pranav Khaitan in a blog post. “Despite tremendous progress .. [adaptability challenges]

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