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Learning prerequisite chains is an essential task for efficiently acquiring knowledge in both known and unknown domains.
Interrater reliability: the kappa statistic
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015a · 2015
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Inductive representation learning on large graphs
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Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, and C. Lee Giles. 2018 · 2018
Prerequisite or not prerequisite? that’s the problem! an nlp-based approach for concept prerequisite learning
Chiara Alzetta, Alessio Miaschi, Giovanni Adorni, Felice Dell’Orletta, Frosina Koceva, Samuele Passalacqua, and Ilaria Torre. 2019 · 2019
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What should I learn first: Introducing lecturebank for NLP education and prerequisite chain learning
Irene Li, Alexander R. Fabbri, Robert R. Tung, and Dragomir R. Radev. 2019 · 2019
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Autoencoding keyword correlation graph for document clustering
Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta, and Mohammady Mahdy. 2020 · 2020
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R-VGAE: Relational-variational graph autoencoder for unsupervised prerequisite chain learning
Irene Li, Alexander Fabbri, Swapnil Hingmire, and Dragomir Radev. 2020 · 2020
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MOOCCube: A large-scale data repository for NLP applications in MOOCs
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