38 citations · 144 across the 13 of their papers we have counts for
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3 papers · 1 filter
cs.CL2020★ 5 cited
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Yiran Chen, Pengfei Liu, Ming Zhong +4
Neural network-based models augmented with unsupervised pre-trained knowledge have achieved impressive performance on text summarization. However, most existing evaluation methods…
cs.CL2020★ 37 cited
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Danqing Wang, Pengfei Liu, Yining Zheng +2
As a crucial step in extractive document summarization, learning cross-sentence relations has been explored by a plethora of approaches. An intuitive way is to put them in the grap…
cs.CL2020★ 16 cited
Extractive Summarization as Text Matching
Ming Zhong, Pengfei Liu, Yiran Chen +3
This paper creates a paradigm shift with regard to the way we build neural extractive summarization systems. Instead of following the commonly used framework of extracting sentence…