# bertimbau-base-ulyssesner_br-bcod-self_learning

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This model is a fine-tuned version of the [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased), utilizing self-learning techniques with data sourced from the UlyssesNER-Br corpus and bill summaries from the Brazilian Chamber of Deputies.

Paper accepted at 16th International Conference on Computational Processing of Portuguese (PROPOR 2024).

ResearchGate link: https://www.researchgate.net/publication/377487787_A_Named_Entity_Recognition_Approach_for_Portuguese_Legislative_Texts_Using_Self-Learning
{"language": ["pt"], "license": "mit", "tags": ["legal"], "datasets": ["ulysses-camara/ulysses-ner-br"], "pipeline_tag": "token-classification"}
transformers pytorch bert token-classification legal pt dataset:ulysses-camara/ulysses-ner-br license:mit autotrain_compatible endpoints_compatible region:us