EROS: Entity-Driven Controlled Policy Document Summarization

arXiv:2403.00141v1 Announce Type: new
Abstract: Privacy policy documents have a crucial role in educating individuals about the collection, usage, and protection of users' personal data by organizations. However, they are notorious for their lengthy, complex, and convoluted language especially involving privacy-related entities. Hence, they pose a significant challenge to users who attempt to comprehend organization's data usage policy. In this paper, we propose to enhance the interpretability and readability of policy documents by using controlled abstractive summarization -- we enforce …

abstract arxiv challenge collection cs.ai cs.cl data document documents language organizations personal data policy privacy privacy policy protection role summarization type usage