68 citations · 85 across the 3 of their papers we have counts for
3 papers
cs.CL2020
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
Xuguang Wang, Linjun Shou, Ming Gong +2
The Natural Questions (NQ) benchmark set brings new challenges to Machine Reading Comprehension: the answers are not only at different levels of granularity (long and short), but a…
cs.CL2016★ 68 cited
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
Peng Li, Wei Li, Zhengyan He +4
While question answering (QA) with neural network, i.e. neural QA, has achieved promising results in recent years, lacking of large scale real-word QA dataset is still a challenge…
cs.CL2016★ 17 cited
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation
Jie Zhou, Ying Cao, Xuguang Wang +2
Neural machine translation (NMT) aims at solving machine translation (MT) problems using neural networks and has exhibited promising results in recent years. However, most of the e…