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Noetic End-to-End Response Selection Challenge
==============================================

**Update** - A tensorflow based baseline for subtask 1 of the track is available `here <https://github.com/IBM/dstc7-noesis/tree/models/noesis-tf>`_.

This challenge is part of dialog state tracking challenge (DSTC 7) series. It provides a partial conversation, and requires participants to select the correct next utterances from a set of candidates.
Unlike previous similar challenges, this task tries to push towards real world problems by introducing:

- A large number of candidates
- Cases where no candidate is correct
- External data

This challenge is offered with two goal oriented dialog datasets, used in 5 subtasks.
A participant may participate in one, several, or all the subtasks.
A full description of the track is available `here <http://workshop.colips.org/dstc7/proposals/Track%201%20Merged%20Challenge%20Extended%20Desscription_v2.pdf>`_.

Organizers
----------
* `Lazaros Polymenako <mailto:lcpolyme@us.ibm.com>`_, `Chulaka Gunasekara <mailto:chulaka.gunasekara@ibm.com>`_ – IBM Research AI
* `Walter Lasecki <mailto:wlasecki@umich.edu>`_, `Jonathan K. Kummerfeld <mailto:jkummerf@umich.edu>`_ – University of Michigan


Maintainers
-----------
* `Chulaka Gunasekara <https://researcher.watson.ibm.com/researcher/view.php?person=ibm-chulaka.gunasekara>`_ 

To get a guaranteed support you are kindly requested to open an issue.

Thank you for understanding!

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