一窝小鸟
发表于 2025-3-30 08:44:31
Biomedical Causal Relation Extraction Incorporated with External Knowledgeies, semantic relations and function type. In recent years, some related works have largely improved the performance of biomedical causal relation extraction. However, they only focus on contextual information and ignore external knowledge. In view of this, we introduce entity information from exter
COST
发表于 2025-3-30 13:35:43
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Palter
发表于 2025-3-30 18:07:17
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allergy
发表于 2025-3-31 00:30:32
Chapter-Level Stepwise Temporal Relation Extraction Based on Event Information for Chinese Clinicalof many intelligent researches in the medical field. Most of the existing studies on temporal relation extraction remains at sentence-level tasks, however, the rich medical information and large number of specialized vocabularies in Chinese clinical medical texts lead to the fact that short clinica
6Applepolish
发表于 2025-3-31 03:30:07
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放逐
发表于 2025-3-31 06:41:47
Biomedical Event Detection Based on Dependency Analysis and Graph Convolution Networkdrug development. The existing methods treat event detection tasks as multi-classification or sequence annotation tasks, only considering the sequence representation of sentences and striving to obtain more contextual information in sequence models. However, they overlook the shortcomings of sequenc
玛瑙
发表于 2025-3-31 11:26:34
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屈尊
发表于 2025-3-31 15:10:00
Privacy-Preserving Medical Dialogue Generation Based on Federated Learning in privacy-sensitive domains like healthcare, concerns related to legal regulations and data security continue to pose challenges, resulting in data silos as a major barrier to building secure medical dialogue generation models. Federated learning is a distributed model training approach that allow
Cabinet
发表于 2025-3-31 19:50:59
FgKF: Fine-Grained Knowledge Fusion for Radiology Report Generationeration of image-to-report can effectively relieve pressure on physicians. The generation of radiology reports utilizes the terminology and expertise inherent to the field of radiology. The integration of this specialized knowledge into automated report generation not only enhances the precision of