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@@ -28,7 +28,7 @@ It was developed as part of a study on information extraction and indexing of ad
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  ### Key Features
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- - ๐Ÿ›๏ธ **Domain-Specific**: Trained exclusively on authentic municipal meeting minutes
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  - ๐Ÿง  **Entity-Level Extraction**: Identifies key metadata (minute ID, date, location, start/end times, participants)
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  - โš™๏ธ **Transformer-based Architecture**: BERTimbau backbone with fine-tuning for token classification
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  - ๐Ÿ“ˆ **Strong NER Performance**: Achieves F1-score above 0.90 on the English and Portuguese dataset
 
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  ### Key Features
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+ - ๐Ÿ›๏ธ **Domain-Specific**: Trained on translated municipal meeting minutes
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  - ๐Ÿง  **Entity-Level Extraction**: Identifies key metadata (minute ID, date, location, start/end times, participants)
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  - โš™๏ธ **Transformer-based Architecture**: BERTimbau backbone with fine-tuning for token classification
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  - ๐Ÿ“ˆ **Strong NER Performance**: Achieves F1-score above 0.90 on the English and Portuguese dataset