A hybrid retrieval architecture combining domain-specific phrase normalization, syn-onym augmentation, and explicit mappings for key symptoms, thereby improving coverage of lexical variants in user-generated medical texts, to MedDRA concepts.
Synergizing a curated domain-specific knowledge base with LLMs via a RAG architecture is an effective strategy for accurately identifying ADEs in unstructured Chinese clinical notes, providing a foundational open-source benchmark and a robust technical framework to advance pharmacovigilance, drug safety research, and c...
Junlong Ma, Xue-Hong Wu, Zeying Feng et al.· Journal of Medical Internet...· 0 citations
H+ Embedding is introduced, a unified multi-granularity retriever that predicts variable-length phrase partitions, preserves uncovered tokens as singletons, and applies importance-guided unit selection with weighted MaxSim interaction.
Shusen Zhang, Jun-Yi Hu, Ye Feng et al.· 0 citations
A three-stage framework made up of neighborhood-aware retrieval, dual reranking, and score fusion that achieves the state of the art on average across five widely-used benchmarks and remains efficient at inference.
BELXTR is presented, a novel embedding model based on the multi-vector (a.k.a. late interaction) architecture, which allows to leverage token-level matching information in biomedical entity linking by integrating an existing task-specific training objective and exploring active query expansion.
This study proposes STaR, a novel retriever fine-tuning framework that integrates BM25 similarity graph-based soft labeling with a triplet similarity learning strategy based on Sentence-BERT (SBERT), and introduces a triplet-aware SBERT training architecture that explicitly models relative semantic distances between qu...
Jiali Jiang, Chih-Yung Chang, Youxi Li et al.· Multimedia Systems· 0 citations
Motivation Pharmacovigilance relies on accurate extraction of structured biomedical entities and their semantic relationships from scientific literature. However, most biomedical information extraction systems address named entity recognition (NER) and relation extraction as separate tasks trained on corpus-specific ar...
Hasin Rehana, J. Hur· bioRxiv· 0 citations
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