Recent advances in conversational NLP : Towards the standardization of Chatbot building

TL;DR

This paper reviews the current state of dialogue systems in NLP, compares various approaches, and advocates for standardization in chatbot development to improve consistency and usability.

Contribution

It provides a comprehensive overview of dialogue system categories, approaches, and a critical analysis, emphasizing the need for standardization in chatbot building.

Findings

Different dialogue system approaches have distinct strengths and weaknesses.

Standardization could enhance the development and deployment of chatbots.

Current techniques vary significantly in methodology and effectiveness.

Abstract

Dialogue systems have become recently essential in our life. Their use is getting more and more fluid and easy throughout the time. This boils down to the improvements made in NLP and AI fields. In this paper, we try to provide an overview to the current state of the art of dialogue systems, their categories and the different approaches to build them. We end up with a discussion that compares all the techniques and analyzes the strengths and weaknesses of each. Finally, we present an opinion piece suggesting to orientate the research towards the standardization of dialogue systems building.