Agree To Disagree
Computation and Language
2023-09-27 v1 Artificial Intelligence
Abstract
How frequently do individuals thoroughly review terms and conditions before proceeding to register for a service, install software, or access a website? The majority of internet users do not engage in this practice. This trend is not surprising, given that terms and conditions typically consist of lengthy documents replete with intricate legal terminology and convoluted sentences. In this paper, we introduce a Machine Learning-powered approach designed to automatically parse and summarize critical information in a user-friendly manner. This technology focuses on distilling the pertinent details that users should contemplate before committing to an agreement.
Cite
@article{arxiv.2309.14382,
title = {Agree To Disagree},
author = {Abhinav Raghuvanshi and Siddhesh Pawar and Anirudh Mittal},
journal= {arXiv preprint arXiv:2309.14382},
year = {2023}
}