66 citations · 73 across the 5 of their papers we have counts for
5 papers
Leveraging Label Information for Multimodal Emotion Recognition
Peiying Wang, Sunlu Zeng, Junqing Chen +4
Multimodal emotion recognition (MER) aims to detect the emotional status of a given expression by combining the speech and text information. Intuitively, label information should b…
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets
Yu Lu, Junwei Bao, Zichen Ma +4
High-quality data is essential for conversational recommendation systems and serves as the cornerstone of the network architecture development and training strategy design. Existin…
Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog
Haipeng Sun, Junwei Bao, Youzheng Wu +1
Traditional end-to-end task-oriented dialog systems first convert dialog context into belief state and action state before generating the system response. The system response perfo…
Incremental Learning for End-to-End Automatic Speech Recognition
Li Fu, Xiaoxiao Li, Libo Zi +4
In this paper, we propose an incremental learning method for end-to-end Automatic Speech Recognition (ASR) which enables an ASR system to perform well on new tasks while maintainin…
From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots
Heung-Yeung Shum, Xiaodong He, Di Li
Conversational systems have come a long way since their inception in the 1960s. After decades of research and development, we've seen progress from Eliza and Parry in the 60's and…