The framework design of question generation based on knowledge graph
Pages 71 - 75
Abstract
This paper proposes a systemic design framework GTQG (Graph Transformer Question Generator), which generates questions based on the combination of knowledge graph and graph neural network. We use graph Transformer to capture semantic relations, and incorporate into multi-dimensional external information such as question types and external question libraries to present knowledge graph. Thus, a series of questions can be generated based on an n-hop subgraph. In the application of educational scenarios, our approach GTQG serves for questioning teaching help improve students' reasoning and logic skills in text reading practice.
References
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Published In
September 2021
225 pages
ISBN:9781450384094
DOI:10.1145/3488838
Copyright © 2021 ACM.
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Published: 25 February 2022
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