Enhancing privacy policy document interpretability and readability through controlled abstractive summarization.
Enhancing interpretability and readability of policy documents through controlled abstractive summarization, focusing on critical privacy-related entities and organization's rationale.
The author proposes EROS, a model for controlled policy document summarization, to enhance interpretability and readability by including critical privacy-related entities. The approach integrates entity extraction and reinforcement learning to optimize the relevance of generated summaries.