1 code implementation • ICLR 2022 • Huiyun Yang, Huadong Chen, Hao Zhou, Lei LI
Based on large-scale pre-trained multilingual representations, recent cross-lingual transfer methods have achieved impressive transfer performances.
no code implementations • NAACL 2018 • Huadong Chen, Shu-Jian Huang, David Chiang, Xin-yu Dai, Jia-Jun Chen
Natural language sentences, being hierarchical, can be represented at different levels of granularity, like words, subwords, or characters.
1 code implementation • ACL 2017 • Huadong Chen, Shu-Jian Huang, David Chiang, Jia-Jun Chen
Most neural machine translation (NMT) models are based on the sequential encoder-decoder framework, which makes no use of syntactic information.
no code implementations • CONLL 2017 • Huadong Chen, Shu-Jian Huang, David Chiang, Xin-yu Dai, Jia-Jun Chen
We propose a listwise learning framework for structure prediction problems such as machine translation.
no code implementations • IJCNLP 2015 • Shujian Huang, Huadong Chen, Xin-yu Dai, Jia-Jun Chen
The linear combination assumes that all the features are in a linear relationship and constrains that each feature interacts with the rest features in an linear manner, which might limit the expressive power of the model and lead to a under-fit model on the current data.