39 citations · 307 across the 48 of their papers we have counts for
6 papers · 1 filter
Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang +4
Existing neural machine translation systems do not explicitly model what has been translated and what has not during the decoding phase. To address this problem, we propose a novel…
Dynamic Oracle for Neural Machine Translation in Decoding Phase
Zi-Yi Dou, Hao Zhou, Shu-Jian Huang +2
The past several years have witnessed the rapid progress of end-to-end Neural Machine Translation (NMT). However, there exists discrepancy between training and inference in NMT whe…
Neural Machine Translation with Word Predictions
Rongxiang Weng, Shujian Huang, Zaixiang Zheng +2
In the encoder-decoder architecture for neural machine translation (NMT), the hidden states of the recurrent structures in the encoder and decoder carry the crucial information abo…
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
Huadong Chen, Shujian Huang, David Chiang +2
Pairwise ranking methods are the basis of many widely used discriminative training approaches for structure prediction problems in natural language processing(NLP). Decomposing the…
Going Wider: Recurrent Neural Network With Parallel Cells
Danhao Zhu, Si Shen, Xin-Yu Dai +1
Recurrent Neural Network (RNN) has been widely applied for sequence modeling. In RNN, the hidden states at current step are full connected to those at previous step, thus the influ…
Integrating Reviews into Personalized Ranking for Cold Start Recommendation
Guang-Neng Hu, Xin-Yu Dai
Item recommendation task predicts a personalized ranking over a set of items for each individual user. One paradigm is the rating-based methods that concentrate on explicit feedbac…