560 citations · 1.1k across the 56 of their papers we have counts for
9 papers · 1 filter
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation
Mingyang Zhou, Josh Arnold, Zhou Yu
Reinforcement learning (RL) is an effective approach to learn an optimal dialog policy for task-oriented visual dialog systems. A common practice is to apply RL on a neural sequenc…
MOSS: End-to-End Dialog System Framework with Modular Supervision
Weixin Liang, Youzhi Tian, Chengcai Chen +1
A major bottleneck in training end-to-end task-oriented dialog system is the lack of data. To utilize limited training data more efficiently, we propose Modular Supervision Network…
Dependency Parsing for Spoken Dialog Systems
Sam Davidson, Dian Yu, Zhou Yu
Dependency parsing of conversational input can play an important role in language understanding for dialog systems by identifying the relationships between entities extracted from…
How to Build User Simulators to Train RL-based Dialog Systems
Weiyan Shi, Kun Qian, Xuewei Wang +1
User simulators are essential for training reinforcement learning (RL) based dialog models. The performance of the simulator directly impacts the RL policy. However, building a goo…
MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations
Dian Yu, Zhou Yu
Dialog act prediction is an essential language comprehension task for both dialog system building and discourse analysis. Previous dialog act schemes, such as SWBD-DAMSL, are desig…
Deep Modular Co-Attention Networks for Visual Question Answering
Zhou Yu, Jun Yu, Yuhao Cui +2
Visual Question Answering (VQA) requires a fine-grained and simultaneous understanding of both the visual content of images and the textual content of questions. Therefore, designi…