Chatbot

About: Chatbot is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 24372 citations. The topic is also known as: IM bot & AI chatbot.

A Multi-Turn Emotionally Engaging Dialog Model

Abstract: Open-domain dialog systems (also known as chatbots) have increasingly drawn attention in natural language processing. Some of the recent work aims at incorporating affect information into sequence-to-sequence neural dialog modeling, making the response emotionally richer, while others use hand-crafted rules to determine the desired emotion response. However, they do not explicitly learn the subtle emotional interactions captured in human dialogs. In this paper, we propose a multi-turn dialog system aimed at learning and generating emotional responses that so far only humans know how to do. Compared with two baseline models, offline experiments show that our method performs the best in perplexity scores. Further human evaluations confirm that our chatbot can keep track of the conversation context and generate emotionally more appropriate responses while performing equally well on grammar.

A Platform for Human-Chatbot Interaction Using Python

Abstract: Over recent years, we’ve seen various customs for conversational agents. Chatbot is a conventional agent which is capable to communicate with operators by using natural languages. As numerous chatbot platforms already exist, there are still some problems in building data-driven system because a huge amount of data is required for its development. Thus, this paper describes various such agents which depend upon natural expressions implemented in Python. Moreover, to provide a better platform, web connectivity is also provided to evaluate the chatbot on a web-based platform which will help in analysing Human-Chatbot interactions.

Determining Accuracy of Chatbot by applying Algorithm Design and Defined process

Abstract: Chatbots are changing the technical world at a very fast pace now a days. The present Paper provides us insight into algorithm and design of college enquiry chatbot, both voice and text based. The motivation behind writing this paper is that it will helpful for both Professor and students to ask any sort of questions and to comprehend rationale behind this. Our emphasis is based on accuracy to determine chatbot system. However, the technology which enables people to banter with machine in their language by means of a machine interface is picking up prominence in an assortment of questions mainly for user benefit. The ascent of informing application, the headways in Artificial Intelligence (AI) and psychological innovations, an interest with conversational UIs and a more extensive reach of mechanization are on the whole driving the chatbot drift. Although these components are impelling the present enthusiasm for chatbots, be that as it may, the current hype around this phenomenon may not turn out to be economical after some time without a more grounded business method of reasoning and better beneficial results