9:00-9:20 EDT: Project overview: Tasks, approaches, datasets and metrics. (Alex Rudnicky and Markus Mueller)
9:20-9:35 EDT: Exploration of End-to-End SLU Models (Xuandi Fu and Sahar Ghannay)
9:35-9:50 EDT: End-to-End Models – Dealing with Dearth of Data. (Bhuvan Agrawal, Muqiao Yang, Roshan Sharma and Ian Lane)
9:50-10:05 EDT: Beyond Utterances: Context-aware NLU with BERT. (Brandon Liang)
10:05-10:10 EDT: Stretch/Caffeine break
10:10-10:25 EDT: Datasets preparation for training modern dialogue systems. (Mario Rodriguez-Cantelar, Luis Fernando D’Haro and Rafael Banchs)
10:25-10:40 EDT: Reference-free Multi-dimensional Automatic Dialogue Evaluation. (Zhang Chen, Grandee Lee and Luis Fernando D’Haro)
10:40-10:55 EDT: Learning to predict dialogue breakdown from turn transition probabilities in embedded spaces. (Andrew Koh and Rafael Banchs)
10:55-11:10 EDT: Turn and dialogue level evaluation metrics for dialogue quality and AMT HIT designs. (Hugo Boulanger, Sam Davidson, Mario Rodriguez-Cantelar and Mathilde Veron)
11:10-11:25 EDT: Collection of large-scale human-machine dialogue data for public release. (Sam Davidson and Anant Kaushik)
11:25-11:30 EDT: Stretch/Caffeine break
11:30-11:45 EDT: Project summary and take-home messages. (Alex Rudnicky and Markus Mueller)