Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling
Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian
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.- Anthology ID:
- 2023.nllp-1.10
- Original:
- 2023.nllp-1.10v1
- Version 2:
- 2023.nllp-1.10v2
- Volume:
- Proceedings of the Natural Legal Language Processing Workshop 2023
- Month:
- December
- Year:
- 2023
- Address:
- Singapore
- Editors:
- Daniel Preoțiuc-Pietro, Catalina Goanta, Ilias Chalkidis, Leslie Barrett, Gerasimos (Jerry) Spanakis, Nikolaos Aletras
- Venues:
- NLLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 85–98
- Language:
- URL:
- https://aclanthology.org/2023.nllp-1.10
- DOI:
- Cite (ACL):
- Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, and Lakshminarayanan Subramanian. 2023. Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling. In Proceedings of the Natural Legal Language Processing Workshop 2023, pages 85–98, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling (Shvartzshanider et al., NLLP-WS 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.nllp-1.10.pdf