Li, I., Fabbri, A. R., Tung, R. R., & Radev, D. R. (2019, July). What should i learn first: Introducing lecturebank for nlp education and prerequisite chain learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 6674-6681).

https://www.aaai.org/ojs/index.php/AAAI/article/view/4638

Improved Concept Embeddings for Learning Prerequisite Chains: References for LectureBank

Fabbri, A. R., Li, I., Trairatvorakul, P., He, Y., Ting, W. T., Tung, R., ... & Radev, D. R. (2018). Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation. arXiv preprint arXiv:1805.04617.

https://arxiv.org/pdf/1805.04617.pdf

Improved Concept Embeddings for Learning Prerequisite Chains: References for TutorialBank

University of Michigan - Ann Arbor

TutorialBank's resources: 
- A list of 208 topics extracted from the files, which will be used as the nodes for the co-occurrence graphs and for the prerequisite edges. The list of 208 topics was expanded to 227 topics, including common acronyms and different writing formats. Then, an id was assigned to each topic. 
- A list of annotated prerequisites relations between topics above with the format $id1,id2,prereq$, where prereq is 1 if $id1$ is a prerequisite of $id2$ and 0 otherwise. Out of all the 43,056 possible prerequisite pairs, there are only 913 pairs with prereq equal to 1.

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