50 citations · 67 across the 4 of their papers we have counts for
4 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…
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…
Neural Response Generation with Dynamic Vocabularies
Yu Wu, Wei Wu, Dejian Yang +3
We study response generation for open domain conversation in chatbots. Existing methods assume that words in responses are generated from an identical vocabulary regardless of thei…
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots
Yu Wu, Wei Wu, Chen Xing +3
We study the problem of response selection for multi-turn conversation in retrieval-based chatbots. The task requires matching a response candidate with a conversation context, who…