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Unsupervised Alignment of Privacy Policies using Hidden Markov Models.

, , , and . ACL (2), page 605-610. The Association for Computer Linguistics, (2014)

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An Attentive Survey of Attention Models., , , and . CoRR, (2019)Efficient Algorithms for Global Inference in Internet Marketplaces., , , , and . CoRR, (2021)Lambda Learner: Fast Incremental Learning on Data Streams., , , , , , , and . KDD, page 3492-3502. ACM, (2021)Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes., , and . LAW@ACL, page 42-50. The Association for Computer Linguistics, (2013)Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations., , , , , , , , , and 1 other author(s). ACM Trans. Web, 13 (1): 1:1-1:29 (2019)Logit Attenuating Weight Normalization., , , , , , and . CoRR, (2021)Unsupervised Alignment of Privacy Policies using Hidden Markov Models., , , and . ACL (2), page 605-610. The Association for Computer Linguistics, (2014)Lambda Learner: Fast Incremental Learning on Data Streams., , , , , , , and . CoRR, (2020)Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation., , , and . ACL (1), page 1713-1722. The Association for Computer Linguistics, (2013)An Attentive Survey of Attention Models., , , and . ACM Trans. Intell. Syst. Technol., 12 (5): 53:1-53:32 (2021)