A Survey on Conversational Search and Applications in Biomedicine
This is an incremental survey paper that synthesizes existing research on ConvSearch for biomedical applications, potentially aiding researchers and practitioners in healthcare systems.
This survey paper provides a comprehensive overview of Conversational Search (ConvSearch) systems, focusing on their human interactive characteristics and application in biomedical and healthcare fields, aiming to create an integrated vision of ConvSearch components to benefit healthcare information-seeking processes.
This paper aims to provide a radical rundown on Conversation Search (ConvSearch), an approach to enhance the information retrieval method where users engage in a dialogue for the information-seeking tasks. In this survey, we predominantly focused on the human interactive characteristics of the ConvSearch systems, highlighting the operations of the action modules, likely the Retrieval system, Question-Answering, and Recommender system. We labeled various ConvSearch research problems in knowledge bases, natural language processing, and dialogue management systems along with the action modules. We further categorized the framework to ConvSearch and the application is directed toward biomedical and healthcare fields for the utilization of clinical social technology. Finally, we conclude by talking through the challenges and issues of ConvSearch, particularly in Bio-Medicine. Our main aim is to provide an integrated and unified vision of the ConvSearch components from different fields, which benefit the information-seeking process in healthcare systems.