Summarization of tax rulings in the PRODIGIT project

Authors

DOI:

https://doi.org/10.6092/issn.1825-1927/19618

Keywords:

Tax law, artificial intelligence, Abstractive summarisation, Extractive summarisation, Large Language Models

Abstract

This contribution illustrates the experimental summarisation of tax-law decisions conducted within the PRODIGIT project. After a brief introduction on the concepts of summarisation and "massimazione" (the authoritative extraction of judicial rulings by the Court of Cassation in the Italian legal system), we present the methodology adopted in the project. This methodology includes the experimentation and comparative evaluation of techniques for extractive and abstractive summarization. We then describe the results obtained with these techniques, focusing on abstractive summarization using large language models, the solution that delivered the best results. The different combinations of commands tested (prompt) and the related results are presented. The evaluation by tax experts shows that the most correct and complete summaries are provided using the method of "combined summarisation", which requires the generation of the different contents of the summary and their combination into a single text. Finally, the use of summaries for semantic search functions is presented.

Published

2024-06-10

How to Cite

Pisano, G. (2024) “Summarization of tax rulings in the PRODIGIT project”, i-lex. Bologna, Italy, 17(1), pp. 1–26. doi: 10.6092/issn.1825-1927/19618.

Issue

Section

Articles