Recent Deep Learning Based NLP Techniques for Chatbot Development: An Exhaustive Survey
Bhupesh Rawat, Ankur Singh Bist, Untung Rahardja, Qurotul Aini, Yulia Putri Ayu Sanjaya
Abstract
Chatbots are becoming popular as many applications need it. E-commerce, aviation, supply chain management companies etc. are using AI based chatbots to attract customers. Deep learning is another vertical impacting chatbots' behavior by bringing it close to human physiology. Ways of interaction directly enhance the business productivity that is the main reason for the rise of chatbots. Chatbots are evolving with the use of emerging techniques. In this paper we are making a detailed study of recent deep learning techniques for chatbots. It will bring understanding of developers closer towards good chatbot design. We will cover current gaps and solutions to catalyze current research.