158 citations · 322 across the 31 of their papers we have counts for
5 papers · 1 filter
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Chen Qu, Feng Ji, Minghui Qiu +5
Deep text matching approaches have been widely studied for many applications including question answering and information retrieval systems. To deal with a domain that has insuffic…
Review Helpfulness Prediction with Embedding-Gated CNN
Cen Chen, Minghui Qiu, Yinfei Yang +4
Product reviews, in the form of texts dominantly, significantly help consumers finalize their purchasing decisions. Thus, it is important for e-commerce companies to predict review…
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce
Minghui Qiu, Liu Yang, Feng Ji +6
Building multi-turn information-seeking conversation systems is an important and challenging research topic. Although several advanced neural text matching models have been propose…
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang, Minghui Qiu, Chen Qu +5
Intelligent personal assistant systems with either text-based or voice-based conversational interfaces are becoming increasingly popular around the world. Retrieval-based conversat…
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience
Feng-Lin Li, Minghui Qiu, Haiqing Chen +9
We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce. Based on question answering (QA), AliMe Assist offer…