Rohan Ramanath
Rohan Ramanath
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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
1822015
An attentive survey of attention models
S Chaudhari, G Polatkan, R Ramanath, V Mithal
arXiv preprint arXiv:1904.02874, 2019
642019
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
632016
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
402014
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
342014
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
192018
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
142018
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
112014
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
92013
An attentive survey of attention models. arXiv 2019
S Chaudhari, G Polatkan, R Ramanath, V Mithal
arXiv preprint arXiv:1904.02874, 0
5
Identifying relevant text fragments to help crowdsource privacy policy annotations
R Ramanath, F Schaub, S Wilson, F Liu, N Sadeh, NA Smith
Second AAAI Conference on Human Computation and Crowdsourcing, 2014
42014
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
22019
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
12018
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
12013
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
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