44 citations · 118 across the 11 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 3 cited
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
Siyao Li, Deren Lei, Pengda Qin +1
Deep reinforcement learning (RL) has been a commonly-used strategy for the abstractive summarization task to address both the exposure bias and non-differentiable task issues. Howe…
cs.CL2019★ 4 cited
Multi-Task Self-Supervised Learning for Disfluency Detection
Shaolei Wang, Wanxiang Che, Qi Liu +3
Most existing approaches to disfluency detection heavily rely on human-annotated data, which is expensive to obtain in practice. To tackle the training data bottleneck, we investig…
cs.CL2019★ 22 cited
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
Wenhu Chen, Jianshu Chen, Pengda Qin +2
Semantically controlled neural response generation on limited-domain has achieved great performance. However, moving towards multi-domain large-scale scenarios are shown to be diff…