activity
20192026
most citedTowards Improving Faithfulness in Abstractive Summarization

14 citations · 31 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

Improving the Robustness of Summarization Systems with Dual Augmentation

Xiuying Chen, Guodong Long, Chongyang Tao +4

A robust summarization system should be able to capture the gist of the document, regardless of the specific word choices or noise in the input. In this work, we first explore the…

cs.CL2023

A Topic-aware Summarization Framework with Different Modal Side Information

Xiuying Chen, Mingzhe Li, Shen Gao +5

Automatic summarization plays an important role in the exponential document growth on the Web. On content websites such as CNN.com and WikiHow.com, there often exist various kinds…

cs.CL2023★ 1 cited

Learning towards Selective Data Augmentation for Dialogue Generation

Xiuying Chen, Mingzhe Li, Jiayi Zhang +6

As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples…

cs.CL2023★ 2 cited

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately

Xin Cheng, Shen Gao, Yuchi Zhang +5

Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only need…

cs.CL2023

EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator

Mingzhe Li, Xiuying Chen, Weiheng Liao +4

Interview has been regarded as one of the most crucial step for recruitment. To fully prepare for the interview with the recruiters, job seekers usually practice with mock intervie…