370 citations · 1.4k across the 60 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
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…
stat.ML2018★ 24 cited
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni, Dan Ou, Shichen Liu +4
Tasks such as search and recommendation have become increas- ingly important for E-commerce to deal with the information over- load problem. To meet the diverse needs of di erent u…
cs.CL2018★ 19 cited
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data
Jingang Wang, Junfeng Tian, Long Qiu +4
It is a challenging and practical research problem to obtain effective compression of lengthy product titles for E-commerce. This is particularly important as more and more users b…