
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.


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EROS-Entity-Driven-Controlled-Policy-Document-Summarization


EROS: Entity-Driven Controlled Policy Document Summarization


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Enhancing interpretability and readability of policy documents through controlled abstractive summarization, focusing on critical privacy-related entities and organization's rationale.


eros-entity-driven-controlled-policy-document-summarization


Enhancing privacy policy document interpretability and readability through controlled abstractive summarization.
