Review Paper on Contextual Chatbot for Covid-19 Updates

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Abstract

Conversational AI considered as sub-domain of  Artificial Intelligence that deals with speech-based or text based AI agents to have interactions. Conversational AI  Agents like chatbots and voice assistants are some helping  tools which can perform this type of functionality. For  Conversational AI, Machine Learning and Deep Learning  are playing an important role. It has been a huge amount  of advancement due to the increasing research interest in these fields. Complex hardware structures like GPUs and  TPUs new advancement needs to be in existence. As NLP  and its components are widely enhanced these type of  chatbots are mostly used in healthcare, education systems,  banking sector and ecommerce. Due to these fields  today, Conversational AI is in high demand and is more  preferable by organizations. More newer architectures  can be seen in future having complex core components.

References

Pradnya Kulkarni, Ameya Mahabaleshwarkar, Mrunalini Kulkarni, Nachiket Sirsikar, Kunal Gadgil, “Conversational AI: An Overview of Methodologies, Applications & Future Scope”, IEEE, 2019.

X. Dong, L. Qian, Y. Guan, L. Huang, Q. Yu and J. Yang, “A multiclass classification method based on deep learning for named entity recognition in electronic medical records”, New York Scientific Data Summit (NYSDS), pp. 1-10, 2016

Iain M. Cockburn, Rebecca Henderson, Scott Stern, “The impact of artificial intelligence on innovation”, National Bureau of Economic Research (NBER), 2018

Martin Adam, Michael Wessel, Alexander Benlian, “AI based Chatbots in customer service and their effects on user compliance”, Springer Link, 2020.

T.J.M.Bench-CaponPaul E., “Argumentation in artificial intelligence”, Science Direct, 2007

Anirudh Khanna, Bishwajeet Pandey, Kushagra Vashishta, Kartik Kalia, Pradeep kumar Bhale, Teerath Das, “A Study of Today’s A.I. through Chatbots and Rediscovery of Machine Intelligence”, Research Gate, 2015

Raffaele Cioffi , Marta Travaglioni ,Giuseppina Piscitelli , Antonella Petrillo, Fabio De Felice, “Artificial Intelligence and Machine Learning” , MDPI,2019.