TY - GEN
T1 - Beyond The Text
T2 - 5th Natural Legal Language Processing Workshop, NLLP 2023
AU - Shvartzshnaider, Yan
AU - Wies, Thomas
AU - Balashankar, Ananth
AU - Subramanian, Lakshminarayanan
N1 - Publisher Copyright:
© 2023 Association for Computational Linguistics.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85184992909&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184992909&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85184992909
T3 - NLLP 2023 - Natural Legal Language Processing Workshop 2023, Proceedings of the Workshop
SP - 85
EP - 98
BT - NLLP 2023 - Natural Legal Language Processing Workshop 2023, Proceedings of the Workshop
A2 - Preotiuc-Pietro, Daniel
A2 - Goanta, Catalina
A2 - Chalkidis, Ilias
A2 - Barrett, Leslie
A2 - Spanakis, Gerasimos
A2 - Aletras, Nikolaos
PB - Association for Computational Linguistics (ACL)
Y2 - 7 December 2023
ER -