PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian

arXiv:2609.00958 · cs.CL · Submitted 2026-09-01 · Read on arXiv

cs.CL

Submitted: 2026-09-01

Updated: 2026-09-01

Comments: 10 pages, 3 figures, 6 tables. Published at LREC 2026

Journal ref: Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), pages 4497-4506, 11-16 May 2026. ELRA Language Resources Association (ELRA), 2026

DOI: 10.63317/57u2ica9225o

Code: https://github.com/chakki-works/seqeval

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

Terminology

• Transformer — 6× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Label Coverage Recall — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages
• PEYMA: A Tagged Corpus for Persian Named Entities

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