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  4. How to revert question answering on knowledge graphs
 
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2017
Conference Paper
Title

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.
Author(s)
Maheshwari, Gaurav  
Dubey, Mohnish  
Trivedi, Priyansh  
Lehmann, Jens  
Mainwork
ISWC 2017 Posters & Demonstrations and Industry Tracks. Proceedings. Online resource  
Conference
International Semantic Web Conference (ISWC) 2017  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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