EVENT    MERL leads organization of dialog technology challenges and associated workshop

Date released: December 4, 2017

  •  EVENT    MERL leads organization of dialog technology challenges and associated workshop
  • Date:

    Sunday, December 10, 2017

  • Location:

    Hyatt Regency, Long Beach, CA

  • Description:

    MERL researcher Chiori Hori led the organization of the 6th edition of the Dialog System Technology Challenges (DSTC6). This year's edition of DSTC is split into three tracks: End-to-End Goal Oriented Dialog Learning, End-to-End Conversation Modeling, and Dialogue Breakdown Detection. A total of 23 teams from all over the world competed in the various tracks, and will meet at the Hyatt Regency in Long Beach, CA, USA on December 10 to present their results at a dedicated workshop colocated with NIPS 2017.

    MERL's Speech and Audio Team and Mitsubishi Electric Corporation jointly submitted a set of systems to the End-to-End Conversation Modeling Track, obtaining the best rank among 19 submissions in terms of objective metrics.

  • MERL Contact:

    Chiori Hori

  • External Link:

    http://workshop.colips.org/dstc6/

  • Research Area:

    Speech & Audio

    •  Wang, W., Koji, Y., Harsham, B.A., Hori, T., Hershey, J.R., "Sequence Adversarial Training and Minimum Bayes Risk Decoding for End-to-end Neural Conversation Models", Dialog System Technology Challenges, December 2017.
      BibTeX TR2017-180 PDF
      • @inproceedings{Wang2017dec,
      • author = {Wang, Wen and Koji, Yusuke and Harsham, Bret A. and Hori, Takaaki and Hershey, John R.},
      • title = {Sequence Adversarial Training and Minimum Bayes Risk Decoding for End-to-end Neural Conversation Models},
      • booktitle = {Dialog System Technology Challenges},
      • year = 2017,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2017-180}
      • }