Language Specificity vs. Domain Diversity: Benchmarking Transformers for Bangla Medical NER

arXiv:2609.29101 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Comments: 6 pages, 2 figures. Accepted at the 2026 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh

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

Terminology

• Transformer — 23× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• F1 Score — 6× in this paper · explained in 3 episodes
• Medical Named Entity Recognition — 6× in this paper
• Alignment — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Low-Resource Languages — 3× in this paper · explained in 4 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Transformer Models — 3× in this paper · explained in 2 episodes
• Named Entity Recognition (NER) — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

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