A Semantic Role-based Approach to Open-Domain Automatic Question Generation
Michael Flor, Brian Riordan · 2018
We present a novel rule-based system for automatic generation of factual questions from sentences, using semantic role labeling (SRL) as the main form of text analysis.The system is capable of generating both wh-questions and yes/no questions from the same semantic analysis.We present an extensive evaluation of the system and compare it to a recent neural network architecture for question generation.The SRL-based system outperforms the neural system in both average quality and variety of generated questions.