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Predicting outcomes of Italian VAT decisions
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0922-6389; 1879-8314
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Enrico FRANCESCONI, Georg BORGES and Christoph SORGE (eds), Legal knowledge and information systems : JURIX 2022 The thirty-fifth annual conference, Saarbrücken, Germany, 14–16 December 2022, Amsterdam : IOS Press, 2022, Frontiers in Artificial Intelligence and applications ; 362, pp. 188-193
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GALLI, Federico, GRUNDLER, Giulia, FIDELANGELI, Alessia, GALASSI, Andrea, LAGIOIA, Francesca, PALMIERI, Elena, RUGGERI, Federico, SARTOR, Giovanni, TORRONI, Paolo, Predicting outcomes of Italian VAT decisions, in Enrico FRANCESCONI, Georg BORGES and Christoph SORGE (eds), Legal knowledge and information systems : JURIX 2022 The thirty-fifth annual conference, Saarbrücken, Germany, 14–16 December 2022, Amsterdam : IOS Press, 2022, Frontiers in Artificial Intelligence and applications ; 362, pp. 188-193 - https://hdl.handle.net/1814/78092
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.