Abstract

We explore a novel application of Question Generation (QG) for authentication use, where questions are widely used to verify user identity for online accounts. In our approach, we prompt users to provide a few sentences about their personal life events. We transform user-provided input sentences into a set of simple fact-based authentication questions. We compared our approach with previous QG systems, and evaluation results show that our approach yielded better performance and the promise of future personalized authentication question generation.

Date

September 5, 2016

Authors

Simon S Woo, Zuyao Li, Jelena Mirkovic

Journal

The 9th International Natural Language Generation conference

Pages

203