A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts

Concept prerequisite relation prediction is a common task in the field of knowledge discovery. Concept prerequisite relations can be used to rank learning resources and help learners plan their learning paths. As the largest Internet encyclopedia, Wikipedia is composed of many articles edited in mul...

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Autores principales:	Youheng Bai, Yan Zhang, Kui Xiao, Yuanyuan Lou, Kai Sun
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/fecebe4516a943d3850ea298306679af
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id	oai:doaj.org-article:fecebe4516a943d3850ea298306679af
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spelling	oai:doaj.org-article:fecebe4516a943d3850ea298306679af2021-11-08T02:36:14ZA BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts1563-514710.1155/2021/3510402https://doaj.org/article/fecebe4516a943d3850ea298306679af2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3510402https://doaj.org/toc/1563-5147Concept prerequisite relation prediction is a common task in the field of knowledge discovery. Concept prerequisite relations can be used to rank learning resources and help learners plan their learning paths. As the largest Internet encyclopedia, Wikipedia is composed of many articles edited in multiple languages. Basic knowledge concepts in a variety of subjects can be found on Wikipedia. Although there are many knowledge concepts in each field, the prerequisite relations between them are not clear. When we browse pages in an area on Wikipedia, we do not know which page to start. In this paper, we propose a BERT-based Wikipedia concept prerequisite relation prediction model. First, we created two types of concept pair features, one is based on BERT sentence embedding and the other is based on the attributes of Wikipedia articles. Then, we use these two types of concept pair features to predict the prerequisite relations between two concepts. Experimental results show that our proposed method performs better than state-of-the-art methods for English and Chinese datasets.Youheng BaiYan ZhangKui XiaoYuanyuan LouKai SunHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Youheng Bai Yan Zhang Kui Xiao Yuanyuan Lou Kai Sun A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts
description	Concept prerequisite relation prediction is a common task in the field of knowledge discovery. Concept prerequisite relations can be used to rank learning resources and help learners plan their learning paths. As the largest Internet encyclopedia, Wikipedia is composed of many articles edited in multiple languages. Basic knowledge concepts in a variety of subjects can be found on Wikipedia. Although there are many knowledge concepts in each field, the prerequisite relations between them are not clear. When we browse pages in an area on Wikipedia, we do not know which page to start. In this paper, we propose a BERT-based Wikipedia concept prerequisite relation prediction model. First, we created two types of concept pair features, one is based on BERT sentence embedding and the other is based on the attributes of Wikipedia articles. Then, we use these two types of concept pair features to predict the prerequisite relations between two concepts. Experimental results show that our proposed method performs better than state-of-the-art methods for English and Chinese datasets.
format	article
author	Youheng Bai Yan Zhang Kui Xiao Yuanyuan Lou Kai Sun
author_facet	Youheng Bai Yan Zhang Kui Xiao Yuanyuan Lou Kai Sun
author_sort	Youheng Bai
title	A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts
title_short	A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts
title_full	A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts
title_fullStr	A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts
title_full_unstemmed	A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts
title_sort	bert-based approach for extracting prerequisite relations among wikipedia concepts
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/fecebe4516a943d3850ea298306679af
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A BERT-Based Approach for Extracting Prerequisite Relations among Wikipedia Concepts

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