Rohan Ramanath
Cited by
Cited by
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
An attentive survey of attention models
S Chaudhari, V Mithal, G Polatkan, R Ramanath
arXiv preprint arXiv:1904.02874, 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
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
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
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
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
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
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
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
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
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
Adaptive interview preparation for candidates
KDJ Naidu, H Khurana, V Ramamurthy, R Ramanath, V Nagaraja, ...
US Patent App. 16/146,829, 2020
Unsupervised learning of entity representations using graphs
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent App. 16/021,617, 2020
Embedding user categories using graphs for enhancing searches based on similarities
R Ramanath, I Belousova
US Patent App. 15/613,979, 2018
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
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
Efficient Algorithms for Global Inference in Internet Marketplaces
R Ramanath, S Keerthi, Y Pan, K Salomatin, K Basu
arXiv preprint arXiv:2103.05277, 2021
Machine-learning techniques to suggest targeting criteria for content delivery campaigns
R Zhou, Q Guo, J Oh, D Chan, W Chen, CC Hung, R Kumar, R Ramanath, ...
US Patent App. 16/457,454, 2020
User interface for optimizing digital page
JD Gee, R Ramanath, S Khamphoune, V Nagaraja, D Kumar, H Khurana, ...
US Patent 10,809,892, 2020
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