Citilink
Citilink aims to create AI models to facilitate the understanding of city council meetings
Token Classification • 0.3B • Updated • 15Note BERTimbau-large-metadata-council-pt is a baseline implementation, consisting of a fine-tuned BERT model for Named Entity Recognition (NER), to automatically extract metadata such as meeting number, date, location, participants, and time expressions from Portuguese municipal meeting minutes.
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liaad/Citilink-BERTimbau-large-Vote-Identification-pt-baseline
Token Classification • Updated • 12
liaad/Citilink-BERTimbau-large-Topic-Classification-pt-baseline
Text Classification • 0.3B • Updated • 28Note BERTimbau-large-metadata-council-pt is a baseline implementation, consisting of a fine-tuned BERT model for Named Entity Recognition (NER), to automatically extract metadata such as meeting number, date, location, participants, and time expressions from Portuguese municipal meeting minutes.
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liaad/Citilink_NSP_Segmentation
0.1B • Updated • 16 -
liaad/Citilink_BERTimbau_anonymization
Token Classification • 0.3B • Updated • 10 -
liaad/Citilink_XLMR-large_Structural-Segmentation
Question Answering • 0.6B • Updated • 5 -
liaad/Citilink_BERTimbau-large_metadata
0.3B • Updated • 6 -
liaad/Citilink_DeBERTa-CRF_VotiE
Token Classification • Updated • 8 -
liaad/Citilink_mBART-50_Theme-Generation
0.6B • Updated • 8 -
liaad/Citilink_mBART-50_Summarization
0.6B • Updated • 17 -
Bart Base Summarization Council PT
🚀Streamlit template space
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Citilink NSP Segmentation-demo
🚀Display interactive web applications
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VotIE - Voting Information Extraction
🗳Extract structured voting information from Portuguese text