Research Perspectives and Advancements in Open-Domain Chatbots 
Parinith R Iyer1, Anala. M. R2, Hemavathy R.3
1Parinith R Iyer*, Computer Science and Engineering department, R.V College of Engineering, Bengaluru, India.
2Dr. Anala M. R., Computer Science and Engineering department, R.V College of Engineering, Bengaluru, India.
3Dr. Hemavathy R., Computer Science and Engineering department, R.V College of Engineering, Bengaluru, India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1672-1678 | Volume-9 Issue-4, April 2020. | Retrieval Number: D8734049420/2020©BEIESP | DOI: 10.35940/ijeat.D8734.049420
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The concept of open-domain chatbots has been one of the exciting problems in the field of research for a long time now. Open-domain chatbots are a class of chatbots that are expected to carry a conversation with a human on every possible topic in every context. This class of chatbots helps realize the goal of artificial general intelligence and is on the cutting edge of innovation and research unlike the various types of closed-domain chatbots. Success at building truly open-domain chatbots will also be coupled with man-made systems passing the Turing test and paving way for the next era of human-like systems. The objective of this paper is to highlight the key differences between the classes of chatbots and go on to showcase the advancements that have been made towards achieving this open-domain standard of conversation using reinforcement learning models. In doing this, various metrics are also explained and possible baselines that can be used as inspiration for future open-domain chatbots are presented.
Keywords: Open-domain, Chatbot, Artificial General Intelligence, Reinforcement-learning