A Scalable Framework for Automated NER Annotation Correction in Low-Resource Languages
This paper presents a method to automatically correct named entity recognition annotations in low-resource languages, improving data quality for NLP models.
This paper presents a method to automatically correct named entity recognition annotations in low-resource languages, improving data quality for NLP models.
Auto-scored: A technical NLP paper with no direct AI risk or mitigation implications.