Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems

Li, Xiujun, Panda, Sarah, Liu, Jingjing, Gao, Jianfeng

arXiv.org Artificial Intelligence 

ABSTRACT This proposal introduces a Dialogue Challenge for building end-to-end task-completion dialogue systems, with the goal of encouraging the dialogue research community to collaborate and benchmark on standard datasets and unified experimental environment. In this special session, we will release humanannotated conversational data in three domains (movie-ticket booking, restaurant reservation, and taxi booking), as well as an experiment platform with built-in simulators in each domain, for training and evaluation purposes. The final submitted systems will be evaluated both in simulated setting and by human judges. Index Terms-- dialogue challenge, end-to-end taskcompletion dialogue 1. INTRODUCTION There are many virtual assistants commercially available today, such as Apple's Siri, Google's Home, Microsoft's Cortana, and Amazon's Echo. With a well-designed dialogue system as an intelligent assistant, people can accomplish tasks easily via natural language interactions.

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