arXiv Computation and Language September 23, 2026 By Xueguang Li (School of Information and Software Engineering, University of Electronic Science and Technology of China, Sichuan, China), Di Lin (School of Information and Software Engineering, University of Electronic Science and Technology of China, Sichuan, China), Xue Jiang (Department of Dermatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China), Yanxi Li (Department of Dermatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China), Yugang Chi (Chongqing Health Center for Women and Children, Chongqing, China)

Explanation-Guided Medical Named Entity Recognition with Stability and Boundary Awareness for Atopic Dermatitis

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The paper introduces a stability and boundary-aware explanation-guided framework for medical named entity recognition (NER) in Chinese atopic dermatitis clinical texts. It uses perturbation-based analysis to assess explanation stability and entity boundary sensitivity, and an adaptive fusion strategy to combine local and global explanations. The fused explanations are integrated into training via stability, boundary-aware, and consistency constraints, leading to improved recognition performance and more reliable explanations across multiple NER models.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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