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

arXiv:2606.22886 · cs.CL, cs.AI · Submitted 2026-06-22 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-06-22

Updated: 2026-09-22

Comments: This preprint is withdrawn. We are restructuring the whole manuscript and revising the framework substantially to strengthen the novelty and experimental validation for journal review

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 22× in this paper · explained in 5 episodes
• Consistency — 21× in this paper · explained in 3 episodes
• Interpretability — 14× in this paper · explained in 15 episodes
• Named Entity Recognition — 10× in this paper
• Knowledge Graph — 9× in this paper · explained in 7 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Model-Agnostic — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Graph Construction — 3× in this paper · explained in 3 episodes
• Named Entity Recognition (NER) — 3× in this paper · explained in 2 episodes
• Natural Language Processing — 3× in this paper
• Adaptability — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Adaptive Fusion Mechanism — 1× in this paper · explained in 1 episode
• Adaptive Strategy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Local Interpretable Model-agnostic Explanations — 1× in this paper
• Retrieval-Augmented Generation — 1× in this paper
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Soft Counterfactual Evaluation for Natural Language Explainability — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• A Unified Approach to Interpreting Model Predictions
• Evaluating the Correctness of Explainable AI Algorithms for Classification
• On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks
• SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
• FLERT: Document-Level Features for Named Entity Recognition

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