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

The test set derived from TutorialBank for evaluating improved concept embeddings for learning prerequisite chains consists of:
- A list of 208 topics extracted from files (expanded to 227 topics, including common acronyms and alternate formats), which act as nodes for co-occurrence graphs and prerequisite edges. An ID is assigned to each topic.
- A list of annotated prerequisite relations between the topics using the format $$id1, id2, prereq$$, where $$prereq$$ is 1 if $$id1$$ is a prerequisite of $$id2$$ and 0 otherwise. Out of 43,056 possible prerequisite pairs, 913 pairs have $$prereq$$ equal to 1.

Learn Before

Learn After