Open AccessResearch Perspectives and Advancements in Open Domain Chatbots
Author(s) -
Parinith R Iyer,
Anala. M. R,
R. Hemavathy
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d8734.049420
Subject(s) - open domain , conversation , computer science , domain (mathematical analysis) , context (archaeology) , turing test , class (philosophy) , turing , open research , chatbot , field (mathematics) , data science , artificial intelligence , human–computer interaction , world wide web , psychology , communication , question answering , mathematics , mathematical analysis , paleontology , pure mathematics , biology , programming language
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.