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Found 5 papers, 2 papers with code
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus
Over the past decade, researchers have started to explore the use of NLP to develop tools aimed at helping the public, vendors, and regulators analyze disclosures made in privacy policies.
Creation and Analysis of an International Corpus of Privacy Laws
To examine the status and evolution of this patchwork, we introduce the Government Privacy Instructions Corpus, or GPI Corpus, of 1, 043 privacy laws, regulations, and guidelines, covering 182 jurisdictions.
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
Privacy plays a crucial role in preserving democratic ideals and personal autonomy.
Intent Classification and Slot Filling for Privacy Policies
We refer to predicting the privacy practice explained in a sentence as intent classification and identifying the text spans sharing specific information as slot filling.
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
The PrivacyQA corpus offers a challenging corpus for question answering, with genuine real-world utility.
