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    <abstract>This paper presents a fully automated pipeline for normalizing adverse drug event (ADE) mentions identified in user-generated medical texts, to MedDRA concepts. The core approach here is a hybrid retrieval architecture combining domain-specific phrase normalization, synonym augmentation, and explicit mappings for key symptoms, thereby improving coverage of lexical variants. For candidate generation, the system employs a blend of exact dictionary lookups and fuzzy matching, supplemented by drug-specific contextual scoring. A sentencetransformer model (distilroberta-v1) was finetuned on augmented phrases, with reciprocal rank fusion unifying multiple retrieval signals.</abstract>
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%0 Conference Proceedings
%T A Hybrid Retrieval System for Adverse Event Concept Normalization Integrating Contextual Scoring, Lexical Augmentation, and Semantic Fine-Tuning
%A Vaidyanathan, Saipriya Dipika
%Y Kummerfeld, Jonathan K.
%Y Joshi, Aditya
%Y Dras, Mark
%S Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association
%D 2025
%8 November
%I Association for Computational Linguistics
%C Sydney, Australia
%@ 1834-7037
%F vaidyanathan-2025-hybrid
%X This paper presents a fully automated pipeline for normalizing adverse drug event (ADE) mentions identified in user-generated medical texts, to MedDRA concepts. The core approach here is a hybrid retrieval architecture combining domain-specific phrase normalization, synonym augmentation, and explicit mappings for key symptoms, thereby improving coverage of lexical variants. For candidate generation, the system employs a blend of exact dictionary lookups and fuzzy matching, supplemented by drug-specific contextual scoring. A sentencetransformer model (distilroberta-v1) was finetuned on augmented phrases, with reciprocal rank fusion unifying multiple retrieval signals.
%U https://aclanthology.org/2025.alta-main.19/
%P 240-244

Markdown (Informal)

[A Hybrid Retrieval System for Adverse Event Concept Normalization Integrating Contextual Scoring, Lexical Augmentation, and Semantic Fine-Tuning](https://aclanthology.org/2025.alta-main.19/) (Vaidyanathan, ALTA 2025)

• A Hybrid Retrieval System for Adverse Event Concept Normalization Integrating Contextual Scoring, Lexical Augmentation, and Semantic Fine-Tuning (Vaidyanathan, ALTA 2025)

ACL

• Saipriya Dipika Vaidyanathan. 2025. A Hybrid Retrieval System for Adverse Event Concept Normalization Integrating Contextual Scoring, Lexical Augmentation, and Semantic Fine-Tuning. In Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association, pages 240–244, Sydney, Australia. Association for Computational Linguistics.