Papers by Thomas Norton
Creation and Analysis of an International Corpus of Privacy Laws (2024.lrec-main)
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Sonu Gupta, Geetika Gopi, Harish Balaji, Ellen Poplavska, Nora O’Toole, Siddhant Arora, Thomas Norton, Norman Sadeh, Shomir Wilson
| 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. |
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives (D19-1)
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| Challenge: | Privacy policies are long and complex documents that are difficult for users to read and understand. |
| Approach: | They present a corpus of 1750 questions about privacy policies of mobile applications and over 3500 expert annotations of relevant answers. |
| Outcome: | The proposed corpus of 1750 questions on privacy policies shows that a strong neural baseline underperforms human performance by almost 0.3 F1 on PrivacyQA. |
Intent Classification and Slot Filling for Privacy Policies (2021.acl-long)
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| Challenge: | Sentences written in privacy policies explain privacy practices and the constituent text spans convey further specific information. |
| Approach: | They propose an English corpus of 5,250 intent and 11,788 slot annotations . they propose two alternative neural approaches to model the corpus as a sequence-to-sequence learning task. |
| Outcome: | The proposed corpus predicts intent classification and slot filling, while the sequence tagging method outperforms slot filler by a large margin. |
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus (2022.lrec-1)
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Siddhant Arora, Henry Hosseini, Christine Utz, Vinayshekhar Bannihatti Kumar, Tristan Dhellemmes, Abhilasha Ravichander, Peter Story, Jasmine Mangat, Rex Chen, Martin Degeling, Thomas Norton, Thomas Hupperich, Shomir Wilson, Norman Sadeh
| Challenge: | With the introduction of new privacy regulations, disclosures made by the same organization are not always the same in different languages. |
| Approach: | They propose a language annotation scheme to capture nuances of two new privacy regulations, namely the EU’s GDPR and California’s CCPA/CPRA. |
| Outcome: | The proposed method captures the nuances of two new privacy regulations and compares them to a corpus of 64 privacy policies in English and 91 in German with manual annotations for 8K and 19K fine-grained data practices. |
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. |
| Approach: | They propose language technologies to help users reclaim control over their privacy . they highlight many remaining opportunities to develop more precise or nuanced language technologies . |
| Outcome: | The proposed language technologies can address the privacy information gap . they can be more precise or nuanced in the way they use the text of privacy policies. |