April 23, 2024, 4:42 a.m. | Shikha Soneji, Mitchell Hoesing, Sujay Koujalgi, Jonathan Dodge

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.13087v1 Announce Type: cross
Abstract: The complexities of legalese in terms and policy documents can bind individuals to contracts they do not fully comprehend, potentially leading to uninformed data sharing. Our work seeks to alleviate this issue by developing language models that provide automated, accessible summaries and scores for such documents, aiming to enhance user understanding and facilitate informed decisions. We compared transformer-based and conventional models during training on our dataset, and RoBERTa performed better overall with a remarkable 0.74 …

abstract arxiv automated complexities cs.cl cs.lg data data sharing documents issue language language models policies policy privacy privacy policies service summarizing terms terms of service type work

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