EFSA Challenge: Automated Named Entity Recognition

Deadline: 2019-09-02
Award: $60,000
Open to: Everyone*

Data extraction from texts is a fundamental human action. Anytime we read a book or newspaper we’re extracting data whether we realize it or not. Beyond everyday reading, data extraction is a key part of gathering information for almost any endeavor and spans all fields of work. Automation of data extraction would save a tremendous amount of human resources for organizations that depend on extracting data from published material, particularly considering the ever-increasing amount of such material available.