158 citations · 393 across the 30 of their papers we have counts for
7 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…
A Deep Cascade Model for Multi-Document Reading Comprehension
Ming Yan, Jiangnan Xia, Chen Wu +7
A fundamental trade-off between effectiveness and efficiency needs to be balanced when designing an online question answering system. Effectiveness comes from sophisticated functio…
Semi-Autoregressive Neural Machine Translation
Chunqi Wang, Ji Zhang, Haiqing Chen
Existing approaches to neural machine translation are typically autoregressive models. While these models attain state-of-the-art translation quality, they are suffering from low p…
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…
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
Zheng Zhang, Minlie Huang, Zhongzhou Zhao +3
Dialogue management (DM) decides the next action of a dialogue system according to the current dialogue state, and thus plays a central role in task-oriented dialogue systems. Sinc…