566 citations · 829 across the 9 of their papers we have counts for
9 papers
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
Xinnian Liang, Shuangzhi Wu, Mu Li +1
Embedding based methods are widely used for unsupervised keyphrase extraction (UKE) tasks. Generally, these methods simply calculate similarities between phrase embeddings and docu…
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He, Tong He +13
We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-…
Approximate Distribution Matching for Sequence-to-Sequence Learning
Wenhu Chen, Guanlin Li, Shujie Liu +3
Sequence-to-Sequence models were introduced to tackle many real-life problems like machine translation, summarization, image captioning, etc. The standard optimization algorithms a…
Regularizing Neural Machine Translation by Target-bidirectional Agreement
Zhirui Zhang, Shuangzhi Wu, Shujie Liu +3
Although Neural Machine Translation (NMT) has achieved remarkable progress in the past several years, most NMT systems still suffer from a fundamental shortcoming as in other seque…
Triangular Architecture for Rare Language Translation
Shuo Ren, Wenhu Chen, Shujie Liu +3
Neural Machine Translation (NMT) performs poor on the low-resource language pair , especially when is a rare language. By introducing another rich language , we propo…
Achieving Human Parity on Automatic Chinese to English News Translation
Hany Hassan, Anthony Aue, Chang Chen +21
Machine translation has made rapid advances in recent years. Millions of people are using it today in online translation systems and mobile applications in order to communicate acr…