Results of the Multi-Domain Task-Completion Dialog Challenge
Jinchao Li, Baolin Peng, Sung‐Jin Lee, Jianfeng Gao, Ryuichi Takanobu, Qi Zhu, Minlie Huang, Hannes Schulz, Adam Atkinson, Mahmoud Adada
2020National Conference on Artificial Intelligence24 citations
Abstract
The paper provides an overview of the “Multi-domain Task Completion” track (Track 1) at the 8th Dialog System Technology Challenge (DSTC-8). There are two tasks in this track. The first task is end-to-end multi-domain task-completion, which aims to build end-to-end task completion dialog systems based on ConvLab. The second task is fast domain adaptation, seeking to develop models that predict user responses when only limited in-domain data is available. We describe the submissions for both tasks, automatic evaluation and human evaluation procedures, and discuss the outcomes of these two evaluations.
Topics & Concepts
Dialog boxComputer scienceTask (project management)Domain (mathematical analysis)Adaptation (eye)Dialog systemTrack (disk drive)Domain adaptationTask analysisHuman–computer interactionArtificial intelligenceWorld Wide WebEngineeringClassifier (UML)PhysicsMathematicsSystems engineeringMathematical analysisOperating systemOpticsTopic ModelingSpeech and dialogue systemsAI in Service Interactions