Dialog State Tracking Challenge 6 (DSTC6)

End-to-End Goal Oriented Dialog Learning

This track of the DSTC-6 challenge series is aiming to build End-to-End dialog systems for goal-oriented applications. Goal-oriented dialog technology is an important research issue and End-to-End dialog learning has emerged as a primary research subject in the domain of conversation agent learning. It consists in learning a dialog policy from transactional dialogs of a given domain. In this task, the automatic system responses generated using a given task-oriented dialog data will be evaluated.

Contact Information

You can get the latest updates and participate in discussions on DSTC mailing list

To join the mailing list, send an email to: (listserv@lists.research.microsoft.com)
putting "subscribe DSTC" in the body of the message (without the quotes).
To post a message, send your message to: (dstc@lists.research.microsoft.com).