21 citations · 48 across the 24 of their papers we have counts for
5 papers · 1 filter
Multi-Unit Transformers for Neural Machine Translation
Jianhao Yan, Fandong Meng, Jie Zhou
Transformer models achieve remarkable success in Neural Machine Translation. Many efforts have been devoted to deepening the Transformer by stacking several units (i.e., a combinat…
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Lin Qiao, Jianhao Yan, Fandong Meng +2
Generating a vivid, novel, and diverse essay with only several given topic words is a challenging task of natural language generation. In previous work, there are two problems left…
WeChat Neural Machine Translation Systems for WMT20
Fandong Meng, Jianhao Yan, Yijin Liu +8
We participate in the WMT 2020 shared news translation task on Chinese to English. Our system is based on the Transformer (Vaswani et al., 2017a) with effective variants and the DT…
Dual Past and Future for Neural Machine Translation
Jianhao Yan, Fandong Meng, Jie Zhou
Though remarkable successes have been achieved by Neural Machine Translation (NMT) in recent years, it still suffers from the inadequate-translation problem. Previous studies show…
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
Canxiang Yan, Jianhao Yan, Yangyin Xu +2
Static knowledge graph has been incorporated extensively into sequence-to-sequence framework for text generation. While effectively representing structured context, static knowledg…