| Disagreeable privacy policies: Mismatches between meaning and users' understanding JR Reidenberg, T Breaux, LF Cranor, B French, A Grannis, JT Graves, ... Berkeley Tech. LJ 30, 39, 2015 | 189 | 2015 |
| An attentive survey of attention models S Chaudhari, G Polatkan, R Ramanath, V Mithal arXiv preprint arXiv:1904.02874, 2019 | 78 | 2019 |
| Crowdsourcing annotations for websites' privacy policies: Can it really work? S Wilson, F Schaub, R Ramanath, N Sadeh, F Liu, NA Smith, F Liu Proceedings of the 25th International Conference on World Wide Web, 133-143, 2016 | 64 | 2016 |
| Unsupervised Alignment of Privacy Policies using Hidden Markov Models R Ramanath, F Liu, N Sadeh, NA Smith Proceedings of the Association for Computational Linguistics (2014), 605-610, 2014 | 42 | 2014 |
| A step towards usable privacy policy: Automatic alignment of privacy statements F Liu, R Ramanath, N Sadeh, NA Smith Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 35 | 2014 |
| Towards deep and representation learning for talent search at LinkedIn R Ramanath, H Inan, G Polatkan, B Hu, Q Guo, C Ozcaglar, X Wu, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 20 | 2018 |
| Analyzing privacy policies at scale: From crowdsourcing to automated annotations S Wilson, F Schaub, F Liu, KM Sathyendra, D Smullen, S Zimmeck, ... ACM Transactions on the Web (TWEB) 13 (1), 1-29, 2018 | 14 | 2018 |
| Towards usable privacy policies: Semi-automatically extracting data practices from websites’ privacy policies N Sadeh, A Acquisti, TD Breaux, LF Cranor, AM McDonald, J Reidenberg, ... Poster Proceedings, SOUPS, 9-11, 2014 | 11 | 2014 |
| Crowd prefers the middle path: A new iaa metric for crowdsourcing reveals turker biases in query segmentation R Ramanath, M Choudhury, K Bali, RS Roy Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 9 | 2013 |
| Identifying relevant text fragments to help crowdsource privacy policy annotations R Ramanath, F Schaub, S Wilson, F Liu, N Sadeh, N Smith Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 (1), 2014 | 4 | 2014 |
| Deep neural network architecture for search R Ramanath, G Polatkan, L Xu, B Hu, S Zhou, HH Lee US Patent App. 15/941,314, 2019 | 2 | 2019 |
| Deploying deep ranking models for search verticals R Ramanath, G Polatkan, L Xu, H Lee, B Hu, S Zhou arXiv preprint arXiv:1806.02281, 2018 | 1 | 2018 |
| Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes R Ramanath, M Choudhury, K Bali Proceedings of the 7th Linguistic Annotation Workshop and Interoperability …, 2013 | 1 | 2013 |
| User interface for optimizing digital page JD Gee, R Ramanath, S Khamphoune, V Nagaraja, D Kumar, H Khurana, ... US Patent 10,809,892, 2020 | | 2020 |
| Lambda Learner: Fast Incremental Learning on Data Streams R Ramanath, K Salomatin, JD Gee, K Talanine, O Dalal, G Polatkan, ... arXiv preprint arXiv:2010.05154, 2020 | | 2020 |
| Techniques for querying user profiles using neural networks R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent 10,795,897, 2020 | | 2020 |
| Classification of skills JD Gee, R Ramanath, D Kumar, V Nagaraja US Patent App. 16/206,729, 2020 | | 2020 |
| Neural network model for optimizing digital page JD Gee, R Ramanath, D Kumar US Patent App. 16/206,359, 2020 | | 2020 |
| Active learning model training for page optimization JD Gee, R Ramanath, D Kumar US Patent App. 16/206,387, 2020 | | 2020 |
| Job Identification for Optimizing Digital Page JD Gee, R Ramanath, D Kumar US Patent App. 16/206,264, 2020 | | 2020 |
Fei LiuAssistant Professor of Computer Science, University of Central FloridaVerified email at cs.ucf.edu
