What is it about?

With more and more digitization, lots of private user data is getting generated-- emails, chats, documents, user activity logs, etc. To enable various productivity and automation scenarios, we need to develop systems and methods to extract information from this data. There are mainly two issues with that: data formats are too many and its a private data so nobody but the user herself can see the data. In this tutorial we describe various techniques to extract information from private data.

Featured Image

Why is it important?

As users are spending more and more time online, there is huge increase in user's private data involving users emails, chats, documents, etc. This tutorial describes system and algorithms to extract information in eyes-off manner.

Read the Original

This page is a summary of: Large-Scale Information Extraction under Privacy-Aware Constraints, October 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3459637.3482027.
You can read the full text:

Read

Contributors

The following have contributed to this page