Papers with general NER

1 papers
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting (2024.findings-emnlp)

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Challenge: Named Entity Recognition (NER) is a critical task in information extraction that is not covered in recent benchmarks.
Approach: They compare 13 auto-regressive models using prompting and 16 masked models using fine-tuning on 14 NER datasets covering English, French and Spanish.
Outcome: The proposed models outperform auto-regressive models in English, French and Spanish on 14 NER datasets.

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