Constitutions are foundational legal documents that underpin the governmental and societal structures. As such, they are a reflection of a nation's cultural and social uniqueness, but also contribute to establish topics of universal importance, like citizens' rights and duties (RD). In this work, using the renowned GPT-3.5, we leverage generative large language models to understand constitutional passages that transcend national boundaries. A key contribution of our study is the introduction of a novel application of abstractive summarization on a multi-source collection of constitutional texts, with a focus on European countries' constitution passages related to RD topics. Our results show the meaningfulness of GPT-3.5 to produce informative, coherent and faithful summaries capturing RD topics across European countries.
@article{arxiv.2401.14524,
title = {Evaluating GPT-3.5's Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics},
author = {Candida M. Greco and A. Tagarelli},
journal= {arXiv preprint arXiv:2401.14524},
year = {2024}
}