Conversational interaction systems such as Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana have become very popular over the recent years. Such systems have allowed users to interact with a wide variety of content on the web through a conversational interface. Research challenges such as the Dialogue System Technology Challenges, Dialogue Dodecathlon, Amazon Alexa Prize and the Vision and Language Navigation task have continued to inspire research in conversational AI. These challenges have brought together researchers from different communities such as speech recognition, spoken language understanding, reinforcement learning, language generation, and multi-modal question answering.
Unlike other popular NLP tasks, dialogue frequently has humans in the loop, whether it is for evaluation, active learning or online reward estimation. Through this workshop we aim to bring together researchers from academia and industry to discuss the challenges and opportunities in such human in the loop setups. We hope that this sparks interesting discussions about conversational agents, interactive systems, and how we can use humans most effectively when building such setups. We will highlight areas such as human evaluation setups, reliability in human evaluation, human in the loop training, interactive learning and user modeling. We also highly encourage non-English based dialogue systems in these areas.
The one-day workshop will include talks from senior technical leaders and researchers to share insights associated with evaluating dialogue systems. We also plan on having oral presentations and poster sessions on works related to the topic of the workshop. Finally we will end the workshop with an interactive panel of speakers. As an outcome we expect the participants from the NeurIPS community to walk away with better understanding of human in the loop dialogue modeling as well as key areas of research in this field. Additionally we would like to see discussions around the unification of human evaluation setups in some way.
This workshop will consist of live QA sessions. Therefore, in order to get the most out of the workshop, it is recommended that you watch all the prerecorded talks before the workshop day. Additionally we have put Reserved blocks of time as an opportunity to watch the pre-recorded talks before the Q/A.
| Welcome and Opening Remarks | |
| Reserved Block of time to watch Pre-recorded Invited Talks 1, 2, 3 (Reserved Block) | |
| Invited Talk 1 Q/A - Milica Gašić (Invited Talk) | |
| Invited Talk 2 Q/A - Larry Heck (Invited Talk) | |
| Invited Talk 3 Q/A - Maxine Eskenazi (Invited Talk) | |
| Reserved Block of time to watch Pre-recorded Contributed Talks 1, 2 (Reserved Block) | |
| Contributed Talk 1 Q/A (Contributed Talk) | |
| Contributed Talk 2 Q/A (Contributed Talk) | |
| Poster Session Presentations (Poster Session) | |
| Breakout session: Automatic Evaluation (Breakout Session) | |
| Breakout session: Human Evaluation (Breakout Session) | |
| Reserved Block of time to watch Pre-recorded Contributed Talks 3, 4 (Reserved Block) | |
| Contributed Talk 3 Q/A (Contributed Talk) | |
| Contributed Talk 4 Q/A (Contributed Talk) | |
| Reserved Block of time to watch Pre-recorded Invited Talks 4, 5, 6 (Reserved Block) | |
| Invited Talk 4 Q/A - Jason Weston (Invited Talk) | |
| Invited Talk 5 Q/A - Zhou Yu (Invited Talk) | |
| Invited Talk 6 Q/A - Gokhan Tür (Invited Talk) | |
| Reserved Block of time to watch Pre-recorded Contributed Talks 5, 6 (Reserved Block) | |
| Contributed Talk 5 Q/A (Contributed Talk) | |
| Contributed Talk 6 Q/A (Contributed Talk) | |
| Reserved Block of time to watch Pre-recorded Invited Talks 7, 8, 9 (Reserved Block) | |
| Invited Talk 7 Q/A - Ankur Parikh (Invited Talk) | |
| Invited Talk 8 Q/A - Percy Liang (Invited Talk) | |
| Invited Talk 9 Q/A - Alexander Rudnicky (Invited Talk) | |
| Panel | |
| Closing Remarks / Best Paper Award (Closing Remarks) | |
| Contributed Talk 4 Presentation - "NICE: Neural Image Commenting Evaluation with an Emphasis on Emotion and Empathy" (Contributed Talk Presentation) | |
| Invited Talk 5 Presentation - Zhou Yu - Augment Intelligence with Multimodal Information (Invited Talk Presentation) | |
| Contributed Talk 3 Presentation - "The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models" (Contributed Talk Presentation) | |
| Contributed Talk 5 Presentation - "Improving Dialogue Breakdown Detection with Semi-Supervised Learning" (Contributed Talk Presentation) | |
| Invited Talk 1 Presentation - Milica Gašić - On the track of multi-domain dialogue models (Invited Talk Presentation) | |
| Contributed Talk 6 Presentation - "Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems" (Contributed Talk Presentation) | |
| Contributed Talk 2 Presentation - "Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation" (Contributed Talk Presentation) | |
| Contributed Talk 1 Presentation - "CheerBots: Chatbots toward Empathy and Emotion using Reinforcement Learning" (Contributed Talk Presentation) | |
| Invited Talk 2 Presentation - Larry Heck - Master-Apprentice Learning (Invited Talk Presentation) | |
| Invited Talk 9 Presentation - Alexander Rudnicky - Creating socialbots with human-like conversational abilities (Invited Talk Presentation) | |
| Invited Talk 8 Presentation - Percy Liang - Semantic Parsing for Natural Language Interfaces (Invited Talk Presentation) | |
| Invited Talk 7 Presentation - Ankur Parikh - Towards High Precision Text Generation (Invited Talk Presentation) | |
| Invited Talk 6 Presentation - Gokhan Tür - Past, Present, Future of Conversational AI (Invited Talk Presentation) | |
| Invited Talk 4 Presentation - Jason Weston - (Towards) Learning from Conversing (Invited Talk Presentation) | |
| Invited Talk 3 Presenation - Maxine Eskenazi - Human > User in the Loop (Invited Talk Presentation) | |