Jingfang Xu — accepted AI-conference papers

2021

Transfer Learning for Sequence Generation: from Single-source to Multi-source

Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu

ACL 2021long

Multi-source sequence generation (MSG) is an important kind of sequence generation tasks that takes multiple sources, including automatic post-editing, multi-source translation, multi-document summarization, etc. As MSG tasks suffer from the data scarcity problem and recent pretrained models have be…

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2020

Modeling Voting for System Combination in Machine Translation

Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu +2

IJCAI 2020poster

System combination is an important technique for combining the hypotheses of different machine translation systems to improve translation performance. Although early statistical approaches to system combination have been proven effective in analyzing the consensus between hypotheses, they suffer fro…

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