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Automatic Question Generation for Learning Evaluation in Medicine

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...

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Detalles Bibliográficos
Autores principales: Wang, Weiming, Hao, Tianyong, Liu, Wenyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121000/
http://dx.doi.org/10.1007/978-3-540-78139-4_22
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author Wang, Weiming
Hao, Tianyong
Liu, Wenyin
author_facet Wang, Weiming
Hao, Tianyong
Liu, Wenyin
author_sort Wang, Weiming
collection PubMed
description 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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spelling pubmed-71210002020-04-06 Automatic Question Generation for Learning Evaluation in Medicine Wang, Weiming Hao, Tianyong Liu, Wenyin Advances in Web Based Learning – ICWL 2007 Article 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. 2008 /pmc/articles/PMC7121000/ http://dx.doi.org/10.1007/978-3-540-78139-4_22 Text en © Springer-Verlag Berlin Heidelberg 2008 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Wang, Weiming
Hao, Tianyong
Liu, Wenyin
Automatic Question Generation for Learning Evaluation in Medicine
title Automatic Question Generation for Learning Evaluation in Medicine
title_full Automatic Question Generation for Learning Evaluation in Medicine
title_fullStr Automatic Question Generation for Learning Evaluation in Medicine
title_full_unstemmed Automatic Question Generation for Learning Evaluation in Medicine
title_short Automatic Question Generation for Learning Evaluation in Medicine
title_sort automatic question generation for learning evaluation in medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121000/
http://dx.doi.org/10.1007/978-3-540-78139-4_22
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