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  - legal
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  widget:
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  - text: "Modifica dell' area marina protetta denominata Cinque Terre"
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  - legal
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  widget:
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  - text: "Modifica dell' area marina protetta denominata Cinque Terre"
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+ ---
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+ # Gulbert-ft-ita
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ This model can be used for multi-label classification of Italian legislative acts, according to the subject index (taxonomy) currently adopted in the Gazzetta Uffciale. The model has been obtained by fine-tuning a [BERT-XXL Italian](https://huggingface.co/dbmdz/bert-base-italian-xxl-uncased) model on a large corpus of legislative acts published in the Gazzetta Ufficiale from 1988 until early 2022.
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+ ## Model Details
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Language(s) (NLP):** Italian
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+ - **License:** apache-2.0
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+ - **Finetuned from model:** https://huggingface.co/dbmdz/bert-base-italian-xxl-uncased
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+ ### Model Sources
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+ <!-- Provide the basic links for the model. -->
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+ - **Repository:** https://huggingface.co/dhfbk
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+ - **Paper:** M. Rovera, A. Palmero Aprosio, F. Greco, M. Lucchese, S. Tonelli and A. Antetomaso (2023) **Italian Legislative Text Classification for Gazzetta Ufficiale**. In *Proceedings of the Fifth Natural Legal Language Workshop* (NLLP2023).
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+ - **Demo:** https://dh-server.fbk.eu/ipzs-ui-demo/
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+ ## Uses
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+ ### Direct Use
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+ Multi-label text classification of Italian legislative acts.
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+ ## Training Details
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+ ### Training Data
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+ The [dataset](https://github.com/dhfbk/gazzetta-ufficiale) used for training the model can be retrieved at our [GitHub account](https://github.com/dhfbk) and is further documented in the above mentioned paper.
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+ ## Evaluation
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+ ### Results
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+ The model achieves a micro-F1 score of 0.873, macro-F1 of 0.471 and a weighted-F1 of 0.864 on the test set (3-fold average).
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+ ## Citation
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ **BibTeX:**
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+ TBP, please see above