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Dataset Information

A conversational agent system for dietary supplements use.


ABSTRACT:

Background

Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively. Conversational agent (CA) systems have been applied to healthcare domain, but there is no such system to answer consumers regarding DS use, although widespread use of DS. In this study, we develop the first CA system for DS use.

Methods

Our CA system for DS use developed on the MindMeld framework, consists of three components: question understanding, DS knowledge base, and answer generation. We collected and annotated 1509 questions to develop a natural language understanding module (e.g., question type classifier, named entity recognizer) which was th

SUBMITTER: Singh E 

PROVIDER: S-EPMC9264487 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature