Uploaded August 2021 | Updated September 2026, 5 days ago
A demo on the science behind Alexa Conversations, a new approach for building goal-oriented dialogue systems that is scalable, extensible as well as data efficient. This approach provides out-of-the-box support for natural conversational phenomena like entity sharing across turns or users changing their mind during conversation without requiring developers to provide any such dialogue flows. The demo is based on the NAACL-HLT 2021 Systems Demonstrations paper, "Alexa Conversations: An extensible data-driven approach for building task-oriented dialogue systems." Learn amore about the science behind Alexa here: https://www.amazon.science/tag/alexa
Speakers: Chien-wei Lin and Shuyang Gao
Authors:
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Ström, and Eddie Wang.
Publication location: https://www.amazon.science/publications/alexa-conversations-an-extensible-data-driven-approach-for-building-task-oriented-dialogue-systems
Visit Alexa Conversation Developer Guide: developer.amazon.com/en-US/docs/alexa/conversations/about-alexa-conversations.html
Additional NAACL 2021 Amazon papers: https://www.amazon.science/conferences-and-events/naacl-2021
Follow us:
Website: https://www.amazon.science
Twitter: twitter.com/AmazonScience
Facebook: facebook.com/AmazonScience
Instagram: instagram.com/AmazonScience
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Newsletter: https://www.amazon.science/newsletter
A demo on the science behind Alexa Conversations, a new approach for building goal-oriented dialogue systems that is scalable, extensible as well as data efficient. This approach provides out-of-the-box support for natural conversational phenomena like entity sharing across turns or users changing their mind during conversation without requiring developers to provide any such dialogue flows. The demo is based on the NAACL-HLT 2021 Systems Demonstrations paper, "Alexa Conversations: An extensible data-driven approach for building task-oriented dialogue systems." Learn amore about the science behind Alexa here: https://www.amazon.science/tag/alexa
Speakers: Chien-wei Lin and Shuyang Gao
Authors:
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Ström, and Eddie Wang.
Publication location: https://www.amazon.science/publications/alexa-conversations-an-extensible-data-driven-approach-for-building-task-oriented-dialogue-systems
Visit Alexa Conversation Developer Guide: developer.amazon.com/en-US/docs/alexa/conversations/about-alexa-conversations.html
Additional NAACL 2021 Amazon papers: https://www.amazon.science/conferences-and-events/naacl-2021
Follow us:
Website: https://www.amazon.science
Twitter: twitter.com/AmazonScience
Facebook: facebook.com/AmazonScience
Instagram: instagram.com/AmazonScience
LinkedIn: linkedin.com/showcase/AmazonScience
Newsletter: https://www.amazon.science/newsletter
