24 citations · 105 across the 16 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CL2018★ 6 cited
Multi-task Learning over Graph Structures
Pengfei Liu, Jie Fu, Yue Dong +2
We present two architectures for multi-task learning with neural sequence models. Our approach allows the relationships between different tasks to be learned dynamically, rather th…
cs.CL2018★ 24 cited
BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong, Yikang Shen, Eric Crawford +2
In this work, we propose a novel method for training neural networks to perform single-document extractive summarization without heuristically-generated extractive labels. We call…
cs.CL2018★ 22 cited
A Survey on Neural Network-Based Summarization Methods
Yue Dong
Automatic text summarization, the automated process of shortening a text while reserving the main ideas of the document(s), is a critical research area in natural language processi…