Published on Sun Jul 29 2018

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

Xiujun Li, Yu Wang, Siqi Sun, Sarah Panda, Jingjing Liu, Jianfeng Gao

Dialogue Challenge for building end-to-end task-completion dialogue systems. We will release human-annotated conversational data in three domains (movie-ticket booking, restaurant reservation, and taxi booking) The final submitted systems will be evaluated both in simulated setting and by judges.

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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 human-annotated 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.