This study aims at predicting the outcomes of legal cases based on the textual content of judicial decisions. We present a new corpus of Italian documents, consisting of 226 annotated decisions on Value Added Tax by Regional Tax law commissions. We address the task of predicting whether a request is upheld or rejected in the final decision. We employ traditional classifiers and NLP methods to assess which parts of the decision are more informative for the task.
Federico Galli, G.G. (2022). Predicting outcomes of Italian VAT decisions. IOS Press [10.3233/FAIA220465].
Predicting outcomes of Italian VAT decisions
Federico Galli;Giulia Grundler;Alessia Fidelangeli;Andrea Galassi
;Francesca Lagioia
;Elena Palmieri;Federico Ruggeri;Giovanni Sartor;Paolo Torroni
2022
Abstract
This study aims at predicting the outcomes of legal cases based on the textual content of judicial decisions. We present a new corpus of Italian documents, consisting of 226 annotated decisions on Value Added Tax by Regional Tax law commissions. We address the task of predicting whether a request is upheld or rejected in the final decision. We employ traditional classifiers and NLP methods to assess which parts of the decision are more informative for the task.File in questo prodotto:
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Predicting-Outcomes-of-Italian-VAT-Decisions.pdf
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