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Found 6 papers, 0 papers with code
Neural Locality Sensitive Hashing for Entity Blocking
We assess the effectiveness of this approach within the context of the entity resolution problem, which frequently involves the use of task-specific metrics in real-world applications.
Entity Anchored ICD Coding
Medical coding is a complex task, requiring assignment of a subset of over 72, 000 ICD codes to a patient's notes.
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Elastic Weight Consolidation is a recently proposed method to address this issue, but scaling this approach to the modern large models used in practice requires making strong independence assumptions about model parameters, limiting its effectiveness.
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
Medical entity retrieval is an integral component for understanding and communicating information across various health systems.
Improve black-box sequential anomaly detector relevancy with limited user feedback
Anomaly detectors are often designed to catch statistical anomalies.
Using generative adversarial networks to synthesize artificial financial datasets
Generative Adversarial Networks (GANs) became very popular for generation of realistically looking images.
