2 citations · 4 across the 14 of their papers we have counts for
6 papers · 1 filter
Topic model based on co-occurrence word networks for unbalanced short text datasets
Chengjie Ma, Junping Du, Meiyu Liang +1
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for…
Relation Extraction Model Based on Semantic Enhancement Mechanism
Peiyu Liu, Junping Du, Yingxia Shao +1
Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is an important link and core task in the fields…
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion
Runze Fang, Yawen Li, Yingxia Shao +2
The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most ent…
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network
Hongrui Gao, Yawen Li, Meiyu Liang +2
Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, t…
Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering
Tianyu Zhao, Junping Du, Yingxia Shao +1
Federated learning is a distributed machine learning technology, which realizes the balance between data privacy protection and data sharing computing. To protect data privacy, fed…
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
Jie Gao, Yawen Li, Zhe Xue +1
The storage, management, and application of massive spatio-temporal data are widely used in practical scenarios, including public safety. However, due to the unique spatio-temporal…