no code implementations • ACL 2020 • Jian Yang, Shuming Ma, Dong-dong Zhang, Zhoujun Li, Ming Zhou
Although neural machine translation (NMT) has achieved significant progress in recent years, most previous NMT models only depend on the source text to generate translation.
no code implementations • ACL 2020 • Shuming Ma, Dong-dong Zhang, Ming Zhou
Most of the existing models for document-level machine translation adopt dual-encoder structures.
1 code implementation • NLP-COVID19 (ACL) 2020 • Bernal Jiménez Gutiérrez, Juncheng Zeng, Dong-dong Zhang, Ping Zhang, Yu Su
The global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields.
no code implementations • 29 Apr 2020 • Sufeng Duan, Hai Zhao, Dong-dong Zhang, Rui Wang
Data augmentation is an effective performance enhancement in neural machine translation (NMT) by generating additional bilingual data.
no code implementations • 3 Mar 2020 • Qiaolin Xia, Haoyang Huang, Nan Duan, Dong-dong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou
While many BERT-based cross-modal pre-trained models produce excellent results on downstream understanding tasks like image-text retrieval and VQA, they cannot be applied to generation tasks directly.
no code implementations • 19 Aug 2019 • Dong Cao, Lisha Xu, Dong-dong Zhang
In this way, the enhanced-trained stream and teacher stream are combined to infer actions.
no code implementations • 19 Apr 2019 • Dong Cao, Dong-dong Zhang, Haibo Chen
In the process of construction, we propose a task-oriented hybrid construction method based on natural language generation algorithm.
no code implementations • 8 Mar 2019 • Dong-dong Zhang, Lei Zhang, Vladimir Zaborovsky, Feng Xie, Yan-wen Wu, Ting-ting Lu
During the rapid urbanization construction of China, acquisition of urban geographic information and timely data updating are important and fundamental tasks for the refined management of cities.
no code implementations • 1 Nov 2018 • Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dong-dong Zhang, Xu sun
In order to avoid such sophisticated alternate optimization, we propose to learn unsupervised word mapping by directly maximizing the mean discrepancy between the distribution of transferred embedding and target embedding.
2 code implementations • 15 Mar 2018 • Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dong-dong Zhang, Zhirui Zhang, Ming Zhou
Machine translation has made rapid advances in recent years.
Ranked #3 on Machine Translation on WMT 2017 English-Chinese
no code implementations • ACL 2017 • Shuangzhi Wu, Dong-dong Zhang, Nan Yang, Mu Li, Ming Zhou
Nowadays a typical Neural Machine Translation (NMT) model generates translations from left to right as a linear sequence, during which latent syntactic structures of the target sentences are not explicitly concerned.