PolicyPulse: Precision Semantic Role Extraction for Enhanced Privacy Policy Comprehension
Andrick Adhikari
Network and Distributed System Security (NDSS) Symposium 2025 · Day 2 · Privacy & Usability 2
In an era of increasing data privacy concerns, **privacy policies** serve as critical documents designed to inform users about an organization's data collection, processing, and sharing practices. They detail data retention periods, third-party disclosures, and, crucially, outline user control choices and mechanisms for accessing, editing, or deleting personal data. Despite their immense importance, these policies are notoriously unread. The primary culprits are their excessive length, complex legalistic language requiring advanced reading skills, the use of ambiguous phrases that lead to misinterpretation, and their inherently unstructured text format, which makes finding relevant information a daunting task.
AI review
Competent academic NLP work on a real problem — privacy policy opacity — with solid engineering choices and an F1 of 0.94 on a meaningful corpus. Sits comfortably in the 'useful conference paper' tier: technically honest, modestly novel, but unlikely to be the talk anyone's still discussing at the bar.