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2017
Conference Paper
Titel
How to revert question answering on knowledge graphs
Abstract
A large scale question answering dataset has a potential to enable development of robust and more accurate question answering systems. In this direction, we introduce a framework for creating such datasets which decreases the manual intervention and domain expertise, traditionally needed. We describe the architecture and the design decisions we took while creating the framework, in detail.