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Cited by 42Natural Language Processing TechniquesBiomedical Text Mining and OntologiesIntelligent Tutoring Systems and Adaptive Learning

Automatic Question Generation for Learning Evaluation in Medicine

Open access
Wang, Weiming, Hao, Tianyong, Liu, Wenyin·2008·Lecture Notes in Computer Science
DOI 10.1007/978-3-540-78139-4_22PMC PMC7121000
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Abstract

An approach of automatic question generation from given learning material of medical text is presented in this paper. The main idea is to generate the questions automatically based on question templates which are created by training on many medical articles. In order to provide interesting questions, our research focuses on medical related concepts. This method can be used for evaluation of learner’s comprehension after he/she finished a reading material. Different from traditional learning system the articles and questions are all prepared beforehand; participants can learn whatever new input medical articles with the help of automatic question generation.

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Crossref · 10.1007/978-3-540-78139-4_22

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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Authors
Wang, W., Hao, T., & Liu, W.
Affiliations
City University of Hong Kong (HK)
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer Berlin Heidelberg
Published
2008
Pages
242-251
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-540-78139-4_22
PMC
PMC7121000
OpenAlex
W1520663121
Cited by
42
References
14
Citations by year
2025: 3 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 2 · 2012: 6
FWCI
1.49
Type
conference paper
Language
en
Open access
Licence
www.springer.com/tdm (tdm)
Locations
  • Lecture notes in computer science (publishedVersion)
  • PubMed Central (publishedVersion)
Funders
  • City University of Hong Kong (7002137)
  • National Key Research and Development Program of China
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
automatic question generation, medical education, learning assessment, question templates, medical texts, reading comprehension, adaptive learning systems

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