Recent Deep Learning Based NLP Techniques for Chatbot Development: An Exhaustive Survey

Bhupesh Rawat, A. Bist, U. Rahardja, Q. Aini, Yulia Putri Ayu Sanjaya
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引用次数: 9

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.
最近基于深度学习的聊天机器人开发NLP技术:详尽的调查
聊天机器人正变得越来越流行,因为许多应用程序都需要它。电子商务、航空、供应链管理等公司都在使用基于人工智能的聊天机器人来吸引客户。深度学习是另一个垂直影响聊天机器人的行为,使其接近人类生理学。交互方式直接提高了业务生产力,这是聊天机器人兴起的主要原因。随着新兴技术的使用,聊天机器人正在不断发展。在本文中,我们详细研究了最近用于聊天机器人的深度学习技术。它将使开发人员更容易理解好的聊天机器人设计。我们将涵盖当前的差距和解决方案,以促进当前的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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