%0 Journal Article %A Ramanath, Rohan %A Liu, Fei %A Sadeh, Norman %A A. Smith, Noah %D 2014 %T Unsupervised Alignment of Privacy Policies using Hidden Markov Models %U https://kilthub.cmu.edu/articles/journal_contribution/Unsupervised_Alignment_of_Privacy_Policies_using_Hidden_Markov_Models/6473807 %R 10.1184/R1/6473807.v1 %2 https://kilthub.cmu.edu/ndownloader/files/11903411 %K Language Technologies %X

To support empirical study of online privacy policies, as well as tools for users with privacy concerns, we consider the problem of aligning sections of a thousand policy documents, based on the issues they address. We apply an unsupervised HMM; in two new (and reusable) evaluations, we find the approach more effective than clustering and topic models.

%I Carnegie Mellon University