Creation and Analysis of an International Corpus of Privacy Laws (2024.lrec-main)

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Challenge: a corpus of 1,043 privacy laws, regulations, and guidelines covers 183 jurisdictions . prior efforts to study privacy law in the form of privacy policies have lacked a large-scale collection .
Approach: They propose a corpus of 1,043 privacy laws, regulations, and guidelines covering 183 jurisdictions.
Outcome: The Privacy Law Corpus covers 1,043 privacy laws, regulations, and guidelines covering 183 jurisdictions.

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Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies (2021.acl-long)

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Challenge: Existing tools to interpret privacy policies have been used to understand them but there is a lack of large privacy policy corpora to simplify the process.
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Challenge: Legal text is susceptible to multiple valid, conflicting interpretations, and indeterminacy, interdependence between clauses, meaningful silence, and implications of legal defaults.
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Challenge: With the introduction of new privacy regulations, disclosures made by the same organization are not always the same in different languages.
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Challenge: Privacy policies are long and complex documents that are difficult for users to read and understand.
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A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification (2022.emnlp-main)

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Challenge: Existing datasets that ignore law requirements are limited to English.
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Challenge: a lack of high-quality English privacy policy corpus optimized for legal clarity and readability is limiting translation of privacy policies . 139 privacy policies are often considered "incomprehensible" due to technical jargon, legal language, and convoluted grammatical structures.
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Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy? (2021.acl-long)

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Challenge: Privacy policies are long and complex documents that are difficult for users to read and comprehend.
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To Boldly Query What No One Has Annotated Before? The Frontiers of Corpus Querying (2020.acl-main)

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Challenge: a systematic review of corpora and query tools focuses on the query side . annotated corporata are the backbone of many fields in linguistics .
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Privacy-Preserving Natural Language Processing (2023.eacl-tutorials)

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Challenge: This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods.
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The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
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