88 citations · 116 across the 5 of their papers we have counts for
9 papers
Learning to Predict Explainable Plots for Neural Story Generation
Gang Chen, Yang Liu, Huanbo Luan +3
Story generation is an important natural language processing task that aims to generate coherent stories automatically. While the use of neural networks has proven effective in imp…
Neural Machine Translation with Explicit Phrase Alignment
Jiacheng Zhang, Huanbo Luan, Maosong Sun +3
While neural machine translation (NMT) has achieved state-of-the-art translation performance, it is unable to capture the alignment between the input and output during the translat…
Learning to Copy for Automatic Post-Editing
Xuancheng Huang, Yang Liu, Huanbo Luan +2
Automatic post-editing (APE), which aims to correct errors in the output of machine translation systems in a post-processing step, is an important task in natural language processi…
Improving Back-Translation with Uncertainty-based Confidence Estimation
Shuo Wang, Yang Liu, Chao Wang +2
While back-translation is simple and effective in exploiting abundant monolingual corpora to improve low-resource neural machine translation (NMT), the synthetic bilingual corpora…
Neural Diffusion Model for Microscopic Cascade Prediction
Cheng Yang, Maosong Sun, Haoran Liu +3
The prediction of information diffusion or cascade has attracted much attention over the last decade. Most cascade prediction works target on predicting cascade-level macroscopic p…
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Jiacheng Zhang, Yang Liu, Huanbo Luan +2
Although neural machine translation has made significant progress recently, how to integrate multiple overlapping, arbitrary prior knowledge sources remains a challenge. In this wo…