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Good Question! Statistical Ranking for Question Generation
- Publisher
- Springer Singapore
- Copyright
- © Springer Nature Singapore Pte Ltd. 2018
- ISBN
- 978-981-13-0649-5
- Pages
- 69 –89
- DOI
- 10.1007/978-981-13-0650-1_4
- Publisher site
- See Chapter on Publisher Site
Abstract
[Semantic web and lexical databases offer multifaceted purposes. In this chapter, we present an automatic question generation framework for teachers that deploys semantic web and lexical databases for generating questions for a specific lesson topic. This framework is intended to assist teachers in preparing questions for their lessons. We investigated two research questions: (1) “which semantic/lexical database is more appropriate for which learning domain?” and (2) “can a vector space model-based ranking algorithm enhance the relevance of generated questions?”]
Published: Nov 4, 2018
Keywords: Semantic database; Term frequency; Term relevance; Vector space model; Question ranking