Science

We believe that science and technology are advanced through the ongoing, free dissemination of research and best practices. Zuva, in part, has been built on the work of others and as technology leaders, we continue the tradition of sharing our research.


Towards Protecting Sensitive Text with Differential Privacy

To avoid revealing confidential information, data owners and practitioners can use differential privacy, which provides a mathematically guaranteeable definition of privacy preservation.

The Utility of Context When Extracting Entities From Legal Documents

When reviewing documents for legal tasks such as Mergers and Acquisitions, granular information need to be identified and extracted. Inspired by previous work in Named Entity Recognition, we investigate how NER techniques can be leveraged to aid lawyers in this review process.