Abstract

Development of conversational agents started half century ago and since then it has transformed into a technology that is accessible in various aspects in everyday life. This paper presents a survey current state-of-the-art in the open domain neural conversational agent research and future research directions towards Artificial General Intelligence (AGI) creation. In order to create a conversational agent which is able to pass the Turing Test, numerous research efforts are focused on open-domain dialogue system. This paper will present latest research in domain of Neural Network reasoning and logical association, sentiment analysis and real-time learning approaches applied to open domain neural conversational agents. As an effort to provide future research directions, current cuttingedge approaches applied to open domain neural conversational agents, current cutting-edge approaches in rationale generation and the state-of-the-art research directions in alternative training methods will be discussed in this paper.

Details

Title
Open-Domain Neural Conversational Agents: The Step Towards Artificial General Intelligence
Author
Arsovski, Sasa; Sze Hui Wong; Cheok, Adrian David
Publication year
2018
Publication date
2018
Publisher
Science and Information (SAI) Organization Limited
ISSN
2158107X
e-ISSN
21565570
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2656413379
Copyright
© 2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.