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arXiv · 2010.11853

STAR: A Schema-Guided Dialog Dataset for Transfer Learning

Johannes E. M. Mosig·Shikib Mehri·Thomas Kober
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Abstract

We present STAR, a schema-guided task-oriented dialog dataset consisting of 127,833 utterances and knowledge base queries across 5,820 task-oriented dialogs in 13 domains that is especially designed to facilitate task and domain transfer learning in task-oriented dialog. Furthermore, we propose a scalable crowd-sourcing paradigm to collect arbitrarily large datasets of the same quality as STAR. Moreover, we introduce novel schema-guided dialog models that use an explicit description of the task(s) to generalize from known to unknown tasks. We demonstrate the effectiveness of these models, particularly for zero-shot generalization across tasks and domains.

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Johannes E. M. Mosig, Shikib Mehri, Thomas Kober. 2020-10-22. STAR: A Schema-Guided Dialog Dataset for Transfer Learning. https://arxiv.org/abs/2010.11853

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