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Question Answering for Privacy Policies: Combining Computational and Legal Perspectives.

, , , , and . EMNLP/IJCNLP (1), page 4946-4957. Association for Computational Linguistics, (2019)

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Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA., , , , and . WPES@CCS, page 73-102. ACM, (2021)Legal Accountability as Software Quality: A U.S. Data Processing Perspective., and . RE, page 101-113. IEEE, (2022)From Prescription to Description: Mapping the GDPR to a Privacy Policy Corpus Annotation Scheme., , , and . JURIX, volume 334 of Frontiers in Artificial Intelligence and Applications, page 243-246. IOS Press, (2020)Rating Indicator Criteria for Privacy Policies., , and . WPI@SOUPS, USENIX Association, (2016)Question Answering for Privacy Policies: Combining Computational and Legal Perspectives., , , , and . EMNLP/IJCNLP (1), page 4946-4957. Association for Computational Linguistics, (2019)A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus., , , , , , , , , and 4 other author(s). LREC, page 5460-5472. European Language Resources Association, (2022)Creation and Analysis of an International Corpus of Privacy Laws., , , , , , and . CoRR, (2022)Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?, , , , and . ACL/IJCNLP (1), page 4125-4140. Association for Computational Linguistics, (2021)A Theory of Vagueness and Privacy Risk Perception., , , and . RE, page 26-35. IEEE Computer Society, (2016)