Inquisitive Question Generation for High Level Text Comprehension
Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li
Abstract
Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems. One natural type of question to ask tries to fill a gap in knowledge during text comprehension, like reading a news article: we might ask about background information, deeper reasons behind things occurring, or more. Despite recent progress with data-driven approaches, generating such questions is beyond the range of models trained on existing datasets.
Topics & Concepts
Computer scienceComprehensionAsk priceReading comprehensionContext (archaeology)Task (project management)Variety (cybernetics)Reading (process)Artificial intelligenceNatural language processingLinguisticsBiologyPaleontologyProgramming languagePhilosophyManagementEconomyEconomicsTopic ModelingNatural Language Processing TechniquesMultimodal Machine Learning Applications