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inlegalner

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YueranCao2001 / ENLP_Project_Group3

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Reproducible Legal NER pipeline using RoBERTa, LegalBERT, linguistic features, and back-translation. Implements data preparation, spaCy training configs, and evaluation on the InLegalNER corpus with 14 fine-grained entity types.

nlp information-extraction spacy named-entity-recognition data-augmentation sequence-labeling roberta back-translation transformer-models legal-nlp legalbert inlegalner legal-ner
  • Updated May 3, 2025
  • Python

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