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NIPS-CAI 2017 : Conversational AI: “Today's Practice and Tomorrow's Potential”

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Link: http://alborz-geramifard.com/workshops/nips17-Conversational-AI/Main.html
 
When Dec 8, 2017 - Dec 8, 2017
Where Long Beach, California
Submission Deadline Nov 1, 2017
Notification Due Nov 21, 2017
Final Version Due Nov 28, 2017
Categories    machine learning   dialog management   NLP
 

Call For Papers

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Call for papers
Workshop Title: Conversational AI: “Today's Practice and Tomorrow's Potential”
Workshop Website: http://alborz-geramifard.com/workshops/nips17-Conversational-AI
Workshop Date: December 8th
Submission Website: https://cmt3.research.microsoft.com/CONVERSATIONALAI2017
Submission Due Date: November 1st, 11:59 PM EST
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Description:
In the span of only a few years, conversational systems have become commonplace. Every day, millions of people use natural-language interfaces such as Siri, Google Now, Cortana, Alexa, Facebook M and others via in-home devices, phones, or messaging channels such as Messenger, Slack, Skype, among others. At the same time, interest among the research community in conversational systems has blossomed; For supervised and reinforcement learning, conversational systems often serve as both a benchmark task and an inspiration for new ML methods at conferences which don't focus on speech and language per se, such as NIPS, ICML, IJCAI, and others. Research community challenge tasks are proliferating, including the sixth Dialog Systems Technology Challenge (DSTC6), the Amazon Alexa prize, and the Conversational Intelligence Challenge live competition at NIPS 2017. Now more than ever, it is crucial to promote cross-pollination of ideas between academic research centers and industry. The goal of this workshop is to bring together researchers and practitioners in this area, to clarify impactful research problems, to share findings from large-scale real-world deployments, and to generate new ideas for future lines of research. This workshop will include invited talks from academia and industry, contributed work, and open discussion. In these talks, senior technical leaders from many of the most popular conversational services will give insights into real usage and challenges at scale. We will prioritize forward-looking papers that propose interesting and impactful contributions. We will end the day with an open discussion, including a panel consisting of academic and industrial researchers.

Invited Speakers:
• Satinder Singh (University of Michigan)
• Joelle Pineau (McGill University, Facebook)
• Ashwin Ram (Amazon)
• Lihong Li (Microsoft Research)
• Brian Strope (Google)
• Chris Re (Apple)
• David Nahamoo (IBM)

Organizers:
• Alborz Geramifard (Amazon)
• Jason Williams (Microsoft Research)
• Larry Heck (Google)
• Jim Glass (MIT)
• Antoine Bordes (Facebook)
• Steve Young (University of Cambridge, Apple)
• Gerry Tesauro (IBM)

Related Resources

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ICCV 2019   International Conference on Computer Vision
CAI 2018   Second NIPS workshop on Conversational AI: “Today's Practice and Tomorrow's Potential”
MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
ChatbotML 2018   International Workshop on Conversational Agents and Chatbots with Machine Learning, at IEEE Big Data 2018
NAACL-HLT 2019   Annual Conference of the North American Chapter of the Association for Computational Linguistics
MLOSS 2018   NIPS workshop on Machine Learning Open Source Software
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
IRASL 2018   Interpretability and Robustness in Audio, Speech, and Language (NIPS 2018 Workshop)
LXAI@NIPS 2018   Latinx in AI @ NIPS 2018