Let's Discuss: Learning Methods for Dialogue​ ​

​NIPS 2016 Workshop

10 December 2016

Barcelona, Spain





Humans conversing naturally with machines is a staple of science fiction. 
Building agents capable of mutually coordinating their states and actions via 
communication, in conjunction with human agents, would be one of the greatest 
engineering feats of human history. In addition to the tremendous economic 
potential of this technology, the ability to converse appears intimately 
related to the overall goal of AI. 


Although dialogue has been an active area within the linguistics and NLP 
communities for decades, the wave of optimism in the machine learning community 
has inspired increased interest from researchers, companies, and foundations.  
The NLP community has enthusiastically embraced and innovated neural 
information processing systems, resulting in substantial relevant activity 
published outside of NIPS.  The goal of this forum is increased interaction 
(dialogue!) between these communities at NIPS to accelerate creativity and 


Call For Papers


The workshop will consist of a mixture of invited talks and contributed talks, 
with panel sessions.  To avoid the "mini-conference effect", there is no poster 

We anticipate a total of six contributed talks of 20 minutes each, distributed 
evenly over the following three high-level areas:


-          Being data-driven.

o   What can and cannot be done with ​offline evaluation on fixed data sets?  
How can we facilitate development of these offline evaluation tasks in the 
public domain?

o   What is the role of online evaluation (e.g. as a benchmark?), and how would 
we make it accessible to the general community?

o   What can be done with simulated environments, or tasks where machines 
communicate solely with each other?


-          Build complete applications.

o   Do we need to build a irreducible end-to-end system, or can we define 
modules with abstractions that do not leak?

o   ​How do we ease the burden on the human designer of specifying or 
bootstrapping the system?


-          Model innovation.

o   What are the requisite capabilities for learning architectures, ​and where 
are the deficiencies in our current architectures?

o   How can we beneficially incorporate linguistic knowledge into our 


The papers should be typeset according to NIPS format.

The paper should not exceed more than 4 pages (including references).

The authors of all the accepted papers will be expected to give a 20 minute 
talk (15 for the talk + 5 min for questions) and participate in a panel session.

Accepted papers will be displayed on the website.

There will be no posters.


Key Dates


-          10/09/2016: Submissions Due

-          10/23/2016: Acceptance Notification




-          Hal Daume III

-          Paul Mineiro

-          Amanda Stent

-          Jason Weston


Paper submission and more information : http://letsdiscussnips2016.weebly.com/

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