90 citations · 116 across the 5 of their papers we have counts for
5 papers
Neural Response Generation with Meta-Words
Can Xu, Wei Wu, Chongyang Tao +3
We present open domain response generation with meta-words. A meta-word is a structured record that describes various attributes of a response, and thus allows us to explicitly mod…
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
Jiazhan Feng, Chongyang Tao, Wei Wu +3
We study learning of a matching model for response selection in retrieval-based dialogue systems. The problem is equally important with designing the architecture of a model, but i…
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
Xueliang Zhao, Chongyang Tao, Wei Wu +3
We present a document-grounded matching network (DGMN) for response selection that can power a knowledge-aware retrieval-based chatbot system. The challenges of building such a mod…
Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification
Weitao Feng, Zhihao Hu, Wei Wu +2
In this paper, we propose a unified Multi-Object Tracking (MOT) framework learning to make full use of long term and short term cues for handling complex cases in MOT scenes. Besid…
Detecting Context Dependent Messages in a Conversational Environment
Chaozhuo Li, Yu Wu, Wei Wu +3
While automatic response generation for building chatbot systems has drawn a lot of attention recently, there is limited understanding on when we need to consider the linguistic co…