384 citations · 1.2k across the 32 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CL2018★ 71 cited
Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering
Wei Wang, Ming Yan, Chen Wu
This paper describes a novel hierarchical attention network for reading comprehension style question answering, which aims to answer questions for a given narrative paragraph. In t…
cs.CL2018★ 21 cited
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…
cs.DC2018★ 175 cited
D: Decentralized Training over Decentralized Data
Hanlin Tang, Xiangru Lian, Ming Yan +2
While training a machine learning model using multiple workers, each of which collects data from their own data sources, it would be most useful when the data collected from differ…