Towards an Automatic Q&A Generation for Online Courses - A Pipeline Based Approach

被引：3
作者：
Ruedian, Sylvio [1 ,2 ]
Pinkwart, Niels [1 ,2 ]
机构：
[1] Humboldt Univ, Berlin, Germany
[2] Weizenbaum Inst Networked Soc, Berlin, Germany
来源：
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II | 2019年 / 11626卷
关键词：
Personalization; Online courses; Q&A-generation; POS; NLP;
D O I：
10.1007/978-3-030-23207-8_44
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Personalization of online courses is one of the challenges of the 21st century. Although different methodologies for personalization in educational contexts are already existing, there is a bottleneck: personalization by context is always limited to existing learning material; creation of those is a time-consuming task. In this paper we introduce a pipeline to generate questions and valid answers based on educational texts, limited to factual questions for given sentences. We combined NLP technologies with an efficient methodology that is normally used in bioinformatics and adjusted it to generate Q&A-pairs. Instructors can suggest corrections in natural language. Our system generates questions and corresponding answers based on sentences of which 70% make sense.
引用
收藏
页码：237 / 241
页数：5
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