12 citations · 22 across the 6 of their papers we have counts for
4 papers · 1 filter
FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao +3
To accomplish punctuation restoration, most existing methods focus on introducing extra information (e.g., part-of-speech) or addressing the class imbalance problem. Recently, larg…
A Context-Aware Feature Fusion Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao
To accomplish the punctuation restoration task, most existing approaches focused on leveraging extra information (e.g., part-of-speech tags) or addressing the class imbalance probl…
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu +4
Benefiting from the powerful expressive capability of graphs, graph-based approaches have been popularly applied to handle multi-modal medical data and achieved impressive performa…
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
Jiacheng Huang, Yao Zhao, Wei Hu +5
Knowledge graphs (KGs) have become a valuable asset for many AI applications. Although some KGs contain plenty of facts, they are widely acknowledged as incomplete. To address this…