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Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. (arXiv:2204.08952v1 [cs.CL])
April 20, 2022, 1:12 a.m. | Md Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
cs.CL updates on arXiv.org arxiv.org
Prior studies in privacy policies frame the question answering (QA) tasks as
identifying the most relevant text segment or a list of sentences from the
policy document for a user query. However, annotating such a dataset is
challenging as it requires specific domain expertise (e.g., law academics).
Even if we manage a small-scale one, a bottleneck that remains is that the
labeled data are heavily imbalanced (only a few segments are relevant)
--limiting the gain in this domain. Therefore, in …
arxiv augmentation data privacy privacy policies question answering retrieval
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