10 citations · 11 across the 4 of their papers we have counts for
4 papers
MRGSEM-Sum: An Unsupervised Multi-document Summarization Framework based on Multi-Relational Graphs and Structural Entropy Minimization
Yongbing Zhang, Fang Nan, Shengxiang Gao +3
The core challenge faced by multi-document summarization is the complexity of relationships among documents and the presence of information redundancy. Graph clustering is an effec…
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun, Wenbin An, Feng Tian +5
Artificial intelligence (AI) has rapidly developed through advancements in computational power and the growth of massive datasets. However, this progress has also heightened challe…
A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model
Shengxiang Gao, Fang nan, Yongbing Zhang +3
Existing research on news summarization primarily focuses on single-language single-document (SLSD), single-language multi-document (SLMD) or cross-language single-document (CLSD).…
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels
Haochen Han, Minnan Luo, Huan Liu +1
Cross-modal retrieval (CMR) aims to establish interaction between different modalities, among which supervised CMR is emerging due to its flexibility in learning semantic category…