activity
20202023
most citedVMSMO: Learning to Generate Multimodal Summary for Video-based News Articles

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order

Xiuying Chen, Mingzhe Li, Shen Gao +5

Nowadays, time-stamped web documents related to a general news query floods spread throughout the Internet, and timeline summarization targets concisely summarizing the evolution t…

cs.CL2022

Target-aware Abstractive Related Work Generation with Contrastive Learning

Xiuying Chen, Hind Alamro, Mingzhe Li +4

The related work section is an important component of a scientific paper, which highlights the contribution of the target paper in the context of the reference papers. Authors can…

cs.CL2022

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

Mingzhe Li, XieXiong Lin, Xiuying Chen +8

Contrastive learning has achieved impressive success in generation tasks to militate the "exposure bias" problem and discriminatively exploit the different quality of references. E…

cs.CL2020★ 4 cited

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement

Mingzhe Li, Xiuying Chen, Min Yang +3

Eye-catching headlines function as the first device to trigger more clicks, bringing reciprocal effect between producers and viewers. Producers can obtain more traffic and profits,…

cs.CL2020★ 7 cited

VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles

Mingzhe Li, Xiuying Chen, Shen Gao +3

A popular multimedia news format nowadays is providing users with a lively video and a corresponding news article, which is employed by influential news media including CNN, BBC, a…