3 papers
cs.LG2024
APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting
Jun Feng, Xueyi Liu, Jiamin Lu +1
Accurate flood prediction is crucial for disaster prevention and mitigation. Hydrological data exhibit highly nonlinear temporal patterns and encompass complex spatial relationship…
cs.CL2023
Heterogeneous Entity Matching with Complex Attribute Associations using BERT and Neural Networks
Shitao Wang, Jiamin Lu
Across various domains, data from different sources such as Baidu Baike and Wikipedia often manifest in distinct forms. Current entity matching methodologies predominantly focus on…
cs.CL2023
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction
Chenguang Xue, Jiamin Lu
Recent span-based joint extraction models have demonstrated significant advantages in both entity recognition and relation extraction. These models treat text spans as candidate en…