A Conversational Agent System for Dietary Supplements Use
Not on the map. Why?
Abstract (arXiv)
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 the healthcare domain, but there is no such a system to answer consumers regarding DS use, although widespread use of DS. In this study, we develop the first CA system for DS use
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 7 of its 42 references that are in the map. First posted on arXiv 4 Apr 2021.
Builds on
7 of 42 references.
References · 7
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
- 2015Bidirectional LSTM-CRF Models for Sequence Taggingcited by 544
- 2017A Survey on Dialogue Systems: Recent Advances and New Frontierscited by 162
- 2016De-identification of Patient Notes with Recurrent Neural Networkscited by 88
- 2020A Survey on Text Classification: From Shallow to Deep Learningcited by 80
- 2018On Evaluating and Comparing Open Domain Dialog Systemscited by 16
Built on by
Citing papers per year: 2024: 2.
2 papers.