Mitigating Entity Type Confusion in Cross-Domain NER via Multidimensional Quantification and Reasoning Enhancement

arXiv:2609.24357 · cs.CL, cs.AI · Submitted 2026-09-21 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: 9 pages, 3 figures, Accepted at IJCAI-ECAI 2026

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

Terminology

• F1 Score — 15× in this paper · explained in 3 episodes
• Named Entity Recognition — 12× in this paper
• Semantic Similarity — 10× in this paper · explained in 2 episodes
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Ablation study — 5× in this paper · explained in 1 episode
• Generalization — 5× in this paper · explained in 13 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Knowledge Graph — 4× in this paper · explained in 7 episodes
• Progressive Bidirectional Reasoning Chain — 4× in this paper
• Adaptation — 3× in this paper · explained in 1 episode
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Multidimensional Confusion Quantification Model — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Named Entity Recognition (NER) — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• PromptNER: Prompting For Named Entity Recognition
• Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition
• Bidirectional LSTM-CRF Models for Sequence Tagging
• VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna

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