A survey on near-human conversational agents

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dc.contributor.authorSingh, Satwinder
dc.contributor.authorBeniwal, Himanshu
dc.date.accessioned2024-01-21T10:48:37Z
dc.date.accessioned2024-08-14T05:05:57Z
dc.date.available2024-01-21T10:48:37Z
dc.date.available2024-08-14T05:05:57Z
dc.date.issued2021-11-10T00:00:00
dc.description.abstractConversational AI intends for machine-human interactions to appear and feel more natural and inclined to communicate in a near-human context. Chatbots, also known as conversational agents, are typically divided into two use-cases: task-oriented bots and social friend-bots. Task-oriented bots are often used to do activities such as answering questions or solving basic queries. Furthermore, social-friend-bots are designed to communicate like humans, where the user can speak freely and the bot answers organically while maintaining the conversation's ambience. This paper analyses recent works in the conversational AI domain examining the exclusive methodologies, existing frameworks or tools, evaluation metrics, and available datasets for building robust conversational agents. Finally, a mind-map encompassing all the stated elements and qualities of chatbots is created. � 2021 The Authorsen_US
dc.identifier.doi10.1016/j.jksuci.2021.10.013
dc.identifier.issn13191578
dc.identifier.urihttps://kr.cup.edu.in/handle/32116/3899
dc.identifier.urlhttps://linkinghub.elsevier.com/retrieve/pii/S1319157821003001
dc.language.isoen_USen_US
dc.publisherKing Saud bin Abdulaziz Universityen_US
dc.subjectChatbotsen_US
dc.subjectConversational agentsen_US
dc.subjectConversational AIen_US
dc.subjectNatural Language Processingen_US
dc.subjectPersonal assistantsen_US
dc.titleA survey on near-human conversational agentsen_US
dc.title.journalJournal of King Saud University - Computer and Information Sciencesen_US
dc.typeReviewen_US
dc.type.accesstypeOpen Accessen_US

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