Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling. Shvartzshanider, Y., Balashankar, A., Wies, T., & Subramanian, L. In Preoțiuc-Pietro, D., Goanta, C., Chalkidis, I., Barrett, L., Spanakis, G. (., & Aletras, N., editors, Proceedings of the Natural Legal Language Processing Workshop 2023, pages 85–98, Singapore, December, 2023. Association for Computational Linguistics. ![Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 7 downloads This paper formulates a new task of extracting privacy parameters from a privacy policy, through the lens of Contextual Integrity (CI), an established social theory framework for reasoning about privacy norms. Through extensive experiments, we further show that incorporating CI-based domain-specific knowledge into a BERT-based SRL model results in the highest precision and recall, achieving an F1 score of 84%. With our work, we would like to motivate new research in building NLP applications for the privacy domain.
@inproceedings{shvartzshanider_beyond_2023,
address = {Singapore},
title = {Beyond {The} {Text}: {Analysis} of {Privacy} {Statements} through {Syntactic} and {Semantic} {Role} {Labeling}},
shorttitle = {Beyond {The} {Text}},
url = {https://aclanthology.org/2023.nllp-1.10},
abstract = {This paper formulates a new task of extracting privacy parameters from a privacy policy, through the lens of Contextual Integrity (CI), an established social theory framework for reasoning about privacy norms. Through extensive experiments, we further show that incorporating CI-based domain-specific knowledge into a BERT-based SRL model results in the highest precision and recall, achieving an F1 score of 84\%. With our work, we would like to motivate new research in building NLP applications for the privacy domain.},
urldate = {2023-12-09},
booktitle = {Proceedings of the {Natural} {Legal} {Language} {Processing} {Workshop} 2023},
publisher = {Association for Computational Linguistics},
author = {Shvartzshanider, Yan and Balashankar, Ananth and Wies, Thomas and Subramanian, Lakshminarayanan},
editor = {Preoțiuc-Pietro, Daniel and Goanta, Catalina and Chalkidis, Ilias and Barrett, Leslie and Spanakis, Gerasimos (Jerry) and Aletras, Nikolaos},
month = dec,
year = {2023},
pages = {85--98},
}
Downloads: 7
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