Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

no code implementations • 27 Dec 2018 • Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh, Jeff Nunn, Yi Pan, Qing Liu, Han Song, Anna Gottardi, Sanjeev Kwatra, Sanju Pancholi, Ming Cheng, Qinglang Chen, Lauren Stubel, Karthik Gopalakrishnan, Kate Bland, Raefer Gabriel, Arindam Mandal, Dilek Hakkani-Tur, Gene Hwang, Nate Michel, Eric King, Rohit Prasad

In the second iteration of the competition in 2018, university teams advanced the state of the art by using context in dialog models, leveraging knowledge graphs for language understanding, handling complex utterances, building statistical and hierarchical dialog managers, and leveraging model-driven signals from user responses.

Knowledge Graphs Management +4

Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities

no code implementations • 5 Sep 2018 • Ke Wang, Han Song, Jiahui Zhang, Xinran Zhang, Hongen Liao

In this paper, we proposed a method which can fuse different modalities 3D data to get a large-scale and dense point cloud.

Conversational AI: The Science Behind the Alexa Prize

no code implementations • 11 Jan 2018 • Ashwin Ram, Rohit Prasad, Chandra Khatri, Anu Venkatesh, Raefer Gabriel, Qing Liu, Jeff Nunn, Behnam Hedayatnia, Ming Cheng, Ashish Nagar, Eric King, Kate Bland, Amanda Wartick, Yi Pan, Han Song, Sk Jayadevan, Gene Hwang, Art Pettigrue

This paper outlines the advances created by the university teams as well as the Alexa Prize team to achieve the common goal of solving the problem of Conversational

Management Natural Language Understanding +3