Datasets:

romjansen
/

mbert-base-cased-NER-NL-legislation-refs-data

Tasks:

Token Classification

Sub-tasks: named-entity-recognition

Multilinguality: monolingual

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Dataset description

This dataset was created for fine-tuning the model mbert-base-cased-NER-NL-legislation-refs and consists of 512 token long examples which each contain one or more legislation references. These examples were created from a weakly labelled corpus of Dutch case law which was scraped from Linked Data Overheid, pre-tokenized and labelled (biluo_tags_from_offsets) through spaCy and further tokenized through applying Hugging Face's AutoTokenizer.from_pretrained() for bert-base-multilingual-cased's tokenizer.

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Models trained or fine-tuned on romjansen/mbert-base-cased-NER-NL-legislation-refs-data

romjansen/mbert-base-cased-NER-NL-legislation-refs

Token Classification • Updated Jun 24, 2022 • 1