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datasets: |
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- djagatiya/ner-ontonotes-v5-eng-v4 |
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--- |
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Simple finetuned <a href="https://huggingface.co/FacebookAI/roberta-base" target="_blank"> RoBERTA</a> for NERC(Named Entity Recognitiona and Classification) task. |
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The model was finetuned for the Text Mining course at Vrije Universieit Amsterdam in 2024. |
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Classes: |
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entity_list = [ |
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"B-CARDINAL", |
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"I-CARDINAL", |
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"B-DATE", |
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"I-DATE", |
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"B-EVENT", |
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"I-EVENT", |
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"B-FAC", |
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"I-FAC", |
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"B-GPE", |
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"I-GPE", |
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"B-LANGUAGE", |
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"I-LANGUAGE", |
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"B-LAW", |
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"I-LAW", |
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"B-LOC", |
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"I-LOC", |
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"B-MONEY", |
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"I-MONEY", |
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"B-NORP", |
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"I-NORP", |
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"B-ORDINAL", |
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"I-ORDINAL", |
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"B-ORG", |
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"I-ORG", |
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"B-PERCENT", |
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"I-PERCENT", |
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"B-PERSON", |
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"I-PERSON", |
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"B-PRODUCT", |
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"I-PRODUCT", |
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"B-QUANTITY", |
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"I-QUANTITY", |
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"B-TIME", |
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"I-TIME", |
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"B-WORK_OF_ART", |
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"I-WORK_OF_ART", |
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"O", |
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] |
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