no code implementations • 22 Apr 2022 • Yu Qi, Xinyun Zhu, Kedi Xu, Feixiao Ren, Hongjie Jiang, Junming Zhu, Jianmin Zhang, Gang Pan, Yueming Wang
In this way, DyEnsemble copes with variability in signals and improves the robustness of online control.
no code implementations • WS 2018 • Jianmin Zhang, Jiwei Tan, Xiaojun Wan
In this paper, we investigate neural abstractive methods for MDS by adapting a state-of-the-art neural abstractive summarization model for SDS.
no code implementations • 24 Apr 2018 • Jianmin Zhang, Jiwei Tan, Xiaojun Wan
In this paper, we investigate neural abstractive methods for MDS by adapting a state-of-the-art neural abstractive summarization model for SDS.
no code implementations • EMNLP 2017 • Jianmin Zhang, Xiaojun Wan
In this paper we investigate a new task of automatically constructing an overview article from a given set of news articles about a news event.
no code implementations • WS 2017 • Jin-Ge Yao, Jianmin Zhang, Xiaojun Wan, Jianguo Xiao
We study the task of constructing sports news report automatically from live commentary and focus on content selection.
no code implementations • COLING 2016 • Jianmin Zhang, Tianming Wang, Xiaojun Wan
PKUSUMSUM is a Java platform for multilingual document summarization, and it sup-ports multiple languages, integrates 10 automatic summarization methods, and tackles three typical summarization tasks.