Multi-Label Classification of Bills from the Italian Senate
| Autor: | De Angelis A., di Cicco V., Lalle G., Marchetti C., Merialdo P. |
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| Přispěvatelé: | Pasquale Lops, Pierpaolo Basile, Lucia Siciliani, Vincenzo Taccardi, Marco Di Ciano, Nicola Lopane, De Angelis, A., di Cicco, V., Lalle, G., Marchetti, C., Merialdo, P. |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Popis: | The classification of legal texts is usually carried out by domain experts in force at institutions. The classification process is very complex because the reference thesauri are very rich, both in terms of variety of concepts and in terms of numbers. In addition, they often contain very rarely used labels. In this paper we show how to implement a Machine Learning system that can support the domain experts of the Italian Senate, handling infrequently used labels (Zero/Few-shot classification) and making the output of the model explainable to humans. |
| Databáze: | OpenAIRE |
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