The Construction of a Diabetes-oriented Frequently Asked Question Corpus for Automated Question-Answering Services

In recent years, the prevalence of diabetes has been increasing rapidly worldwide. With the advancement of information technology, automated question-answering services for healthcare, which are commonly based on annotated corpus in health domain, have positive effects on health knowledge spread and daily health management for high-risk populations. This paper proposes to construct a large scale diabetes corpus of frequently-asked questions for automated question-answering services and evaluations. Concentrating on the characteristics of diabetes-related factors that reflect conditions of diabetes, this work establishes an annotated dataset containing professional question & answer pairs about diabetes and their annotated question target categories. The corpus is applicable for various question-answering applications, supporting users to retrieve needed information, arrange diets, adhere to scientific medication as well as prevent and control disease complications.