Proposal Towards a Personalized Knowledge-powered Self-play Based Ensemble Dialog System

TL;DR

This paper proposes a personalized, knowledge-driven, self-play based ensemble dialog system aiming to enhance conversational AI, with detailed architecture and strategies for engagement, targeting the 2019 Amazon Alexa competition.

Contribution

It introduces a novel ensemble dialog system integrating personalization, knowledge, and self-play, with a comprehensive architecture and approach for engaging conversational experiences.

Findings

System architecture proposal detailed

Highlights of personalization and knowledge integration

Strategies for engaging user interactions

Abstract

This is the application document for the 2019 Amazon Alexa competition. We give an overall vision of our conversational experience, as well as a sample conversation that we would like our dialog system to achieve by the end of the competition. We believe personalization, knowledge, and self-play are important components towards better chatbots. These are further highlighted by our detailed system architecture proposal and novelty section. Finally, we describe how we would ensure an engaging experience, how this research would impact the field, and related work.