Towards an information type lexicon for privacy policies

8th International Workshop on Requirements Engineering and Law, RELAW 2015 - Proceedings

Volumn , Issue , 2015, Pages 19-24

  Bhatia, Jaspreet ^a   Breaux, Travis D ^a  

^a Carnegie Mellon University   (United States)

Author keywords

crowdsourcing; natural language processing; privacy; requirements extraction

Indexed keywords

COMPUTATIONAL LINGUISTICS; CROWDSOURCING; DATA PRIVACY; REQUIREMENTS ENGINEERING;

DATA PRACTICES; HUMAN ANNOTATIONS; INFORMATION TYPES; LEGAL RISKS; NATURAL LANGUAGE PROCESSING; PART OF SPEECH TAGGING; PRIVACY POLICIES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84963509914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RELAW.2015.7330207     Document Type: Conference Paper

References (17)

1. Abbot RJ "Program design by informal English descriptions." Commun. ACM 26(11):882-894, 1983.
2. A.I. Antón, J.B. Earp, "A requirements taxonomy for reducing web site privacy vulnerabilities," Req'ts Engr. J., 9(3):169-185, 2004.
3. P.,ré, A. Kittur, S.P. Dow. "Crowd synthesis: extracting categories and clusters from complex data." 17th ACM Conf. Comp. Sup. Coop. Work & Soc. Comp. 2014. ACM.
4. D. Berry. Natural language and requirements engineering-nu?, 2001. http://www.ifi.unizh.ch/groups/req/IWRE/papers&presentations/Berry.pdf, accessed 06.09.2015.
5. T.D. Breaux, F.Schaub, "Scaling requirements extraction to the crowd: experiments on privacy policies," 22nd IEEE Int'l Req'ts Engr. Conf., pp. 163-172, 2014.
6. T.D. Breaux, H. Hibshi, A. Rao. "Eddy, a formal language for specifying and analyzing data flow specifications for conflicting privacy requirements." Req'ts Engr. J., 19(3): 281-307, 2014.
7. T.D. Breaux, D. Smullen, H. Hibshi, "Detecting Repurposing and Over-collection in Multi-Party Privacy Requirements Specifications," To Appear: IEEE 23rd Int'l Conf. Req'ts Engr., Ontario, Canada, 2015.
8. C.A. Brodie, C. Karat, J. Karat, "An Empirical Study of Natural Language Parsing of Privacy Policy Rules Using the SPARCLE Policy Workbench, Symposium On Usable Privacy and Security (SOUPS), Copyright IBM Corp, 2006.
9. A. Dardenne, S. Fickas, A. van Lamsweerde. "Goal-directed requirements acquisition," Sci. Comp. Prog., 20:3-50, 1993.
10. J.S. Justeson, S.M. Katz, 1995. "Technical terminology: some linguistic properties and an algorithm for identification in text." Natural Lang. Engr. 1:9-27.
11. S. L. Lim, A. Finkelstein. "StakeRare: using social networks and collaborative filtering for large-scale requirements elicitation," IEEE Trans. Soft. Engr., 38(3): 707-735, 2012.
12. A.K. Massey, J. Eisenstein, A.I. Anton, P.P. Swire, "Automated text mining for requirements analysis of policy documents," 21rd Int'l Conf. Req'ts Engr., pp. 4-13, 2013.
13. A. McDonald, L.F. Cranor. "The Cost of Reading Privacy Policies", I/S: A Journal of Law and Policy for the Information Society, 2008.
14. G.R. Milne, M.J. Culnan, H. Greene "A Longitudinal Assessment of Online Privacy Notice Readability." J. Public Policy & Marketing: 2006, 25(2): 238-249.
15. A. J. Quinn, B. B. Bederson. "Human Computation: A Survey and Taxonomy of a Growing Field." Conf. Hum. Factors in Comp. Sys., pp. 1403-12, 2011, ACM.
16. R. Snow, B. O'Connor, D. Jurafsky, A. Y. Ng. "Cheap and Fast-but Is It Good?: Evaluating Non-Expert Annotations for Natural Language Tasks." Conf. Emp. Meths. in NLP, pp. 254-63, 2008, ACL.
17. S. Zimmeck, S.M. Bellovin. "Privee: An Architecture for Automatically Analyzing Web Privacy Policies." USENIX Security, pp. 1-16, 2014.