Question Answering (QA) systems can support health coaches in facilitating clients' lifestyle behavior changes (e.g., in adopting healthy sleep habits). In this paper, we design a domain-specific QA pipeline for sleep coaching. To this end, we release SleepQA, a dataset created from 7,005 passages comprising 4,250 training examples with single annotations and 750 examples with 5-way annotations1. We fine-Tuned different domain-specific BERT models on our dataset and perform extensive automatic and human evaluation of the resulting end-To-end QA pipeline. Comparisons of our pipeline with baseline show improvements in domain-specific natural language processing on realworld questions. We hope that this dataset will lead to wider research interest in this important health domain.
Conference paper
2022-01-01T00:00:00+00:00
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