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---
license: apache-2.0
language:
- it
tags:
- legal
widget:
- text: "Modifica dell' area marina protetta denominata Cinque Terre"
---
# Gulbert-ft-ita
<!-- Provide a quick summary of what the model is/does. -->
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.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Language(s) (NLP):** Italian
- **License:** apache-2.0
- **Finetuned from model:** https://huggingface.co/dbmdz/bert-base-italian-xxl-uncased
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:** https://huggingface.co/dhfbk
- **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).
- **Demo:** https://dh-server.fbk.eu/ipzs-ui-demo/
## Uses
### Direct Use
Multi-label text classification of Italian legislative acts.
## Training Details
### Training Data
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.
## Evaluation
### Results
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).
## Citation
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```
@inproceedings{rovera-etal-2023-italian,
title = "{I}talian Legislative Text Classification for Gazzetta Ufficiale",
author = "Rovera, Marco and
Palmero Aprosio, Alessio and
Greco, Francesco and
Lucchese, Mariano and
Tonelli, Sara and
Antetomaso, Antonio",
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2023",
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.nllp-1.6",
pages = "44--50"
}
``` |