14 citations · 29 across the 8 of their papers we have counts for
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cs.CL2018
Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Dapeng Wu +2
This paper proposes a new architecture - Attentive Tensor Product Learning (ATPL) - to represent grammatical structures in deep learning models. ATPL is a new architecture to bridg…
cs.CL2017★ 8 cited
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub, Po-Sen Huang, Xiaodong He +1
We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network (SynNet). Given a high-performing MC model in one domain, our t…
cs.CL2017★ 1 cited
Character-level Deep Conflation for Business Data Analytics
Zhe Gan, P. D. Singh, Ameet Joshi +4
Connecting different text attributes associated with the same entity (conflation) is important in business data analytics since it could help merge two different tables in a databa…