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The recent privacy leakage incidences and the more strict policy regulationsdemand a much higher standard of compliance for companies and mobile apps.However, such obligations also impose significant challenges on app developersfor complying with these regulations that contain various perspectives,activities, and roles, especially for small companies and developers who areless experienced in this matter or with limited resources. To address thesehurdles, we develop an automatic tool, NL2GDPR, which can generate policiesfrom natural language descriptions from the developer while also ensuring theapp's functionalities are compliant with General Data Protection Regulation(GDPR). NL2GDPR is developed by leveraging an information extraction tool, OIA(Open Information Annotation), developed by Baidu Cognitive Computing Lab.  At the core, NL2GDPR is a privacy-centric information extraction model,appended with a GDPR policy finder and a policy generator. We perform acomprehensive study to grasp the challenges in extracting privacy-centricinformation and generating privacy policies, while exploiting optimizations forthis specific task. With NL2GDPR, we can achieve 92.9%, 95.2%, and 98.4%accuracy in correctly identifying GDPR policies related to personal datastorage, process, and share types, respectively. To the best of our knowledge,NL2GDPR is the first tool that allows a developer to automatically generateGDPR compliant policies, with only the need of entering the natural languagefor describing the app features. Note that other non-GDPR-related featuresmight be integrated with the generated features to build a complex app.

NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language