Unsupervised alignment of privacy policies using hidden Markov models

52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Volumn 2, Issue , 2014, Pages 605-610

  Ramanath, Rohan ^a   Liu, Fei ^a   Sadeh, Norman ^a   Smith, Noah A ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EMPIRICAL STUDIES; ONLINE PRIVACY; POLICY DOCUMENTS; PRIVACY CONCERNS; PRIVACY POLICIES; TOPIC MODEL;

HIDDEN MARKOV MODELS;

EID: 84906929853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-2099     Document Type: Conference Paper

References (16)

1. Waleed Ammar, Shomir Wilson, Norman Sadeh, and Noah A. Smith. 2012. Automatic categorization of privacy policies: A pilot study. Technical Report CMU-LTI-12-019, Carnegie Mellon University.
2. Regina Barzilay and Lillian Lee. 2004. Catching the drift: Probabilistic content models, with applications to generation and summarization. In Proc. of HLTNAACL.
3. Leonard E. Baum and Ted Petrie. 1966. Statistical inference for probabilistic functions of finite state Markov chains. Annals of Mathematical Statistics, 37:1554-1563.
4. David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent Dirichlet allocation. the Journal of machine Learning research, 3:993-1022.
5. Carolyn A. Brodie, Clare-Marie Karat, and John Karat. 2006. An empirical study of natural language parsing of privacy policy rules using the SPARCLE policy workbench. In Proc. of the Symposium on Usable Privacy and Security.
6. Elisa Costante, Yuanhao Sun, Milan Petković, and Jerry den Hartog. 2012. A machine learning solution to assess privacy policy completeness. In Proc. of the ACM Workshop on Privacy in the Electronic Society.
7. Elisa Costante, Jerry Hartog, and Milan Petkovi. 2013. What websites know about you. In Roberto Pietro, Javier Herranz, Ernesto Damiani, and Radu State, editors, Data Privacy Management and Autonomous Spontaneous Security, volume 7731 of Lecture Notes in Computer Science, pages 146-159. Springer Berlin Heidelberg.
8. Richard Durbin, Sean R. Eddy, Anders Krogh, and Graeme Mitchison. 1998. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press.
9. Federal Trade Commission. 2012. Protecting consumer privacy in an era of rapid change: Recommendations for businesses and policymakers.
10. Robert Gellman. 2014. Fair information practices: a basic history (v. 2.11). Available at http://www.bobgellman.com/rg-docs/rg-FIPShistory.pdf.
11. Matthew D Hoffman, David M Blei, and Francis R Bach. 2010. Online learning for latent Dirichlet allocation. In NIPS.
12. Aleecia M. McDonald and Lorrie Faith Cranor. 2008. The cost of reading privacy policies. I/S: A Journal of Law and Policy for the Information Society, 4(3).
13. Lawrence Rabiner. 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286.
14. Radim Řehůrěk and Petr Sojka. 2010. Software framework for topic modelling with large corpora. In Proc. of the LREC Workshop on New Challenges for NLP Frameworks.
15. Xusheng Xiao, Amit Paradkar, Suresh Thummalapenta, and Tao Xie. 2012. Automated extraction of security policies from natural-language software documents. In Proc. of the ACM SIGSOFT International Symposium on the Foundations of Software Engineering.
16. Sebastian Zimmeck and Steven M. Bellovin. 2013. Machine learning for privacy policy.