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README.md
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### Key Features
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- ๐๏ธ **Domain-Specific**: Trained
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- ๐ง **Entity-Level Extraction**: Identifies key metadata (minute ID, date, location, start/end times, participants)
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- โ๏ธ **Transformer-based Architecture**: BERTimbau backbone with fine-tuning for token classification
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- ๐ **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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- ๐๏ธ **Domain-Specific**: Trained on translated municipal meeting minutes
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- ๐ง **Entity-Level Extraction**: Identifies key metadata (minute ID, date, location, start/end times, participants)
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- โ๏ธ **Transformer-based Architecture**: BERTimbau backbone with fine-tuning for token classification
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- ๐ **Strong NER Performance**: Achieves F1-score above 0.90 on the English and Portuguese dataset
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