University of Michigan - Ann Arbor

Li, I., etc.(2019) introduced a new dataset, LectureBank, in 5 different domains with 208 manually-labeled prerequisite relation topics, and evaluated four binary classifiers and two Graph Convolutional Networks (GCNs) models in predicting prerequisite relationship.

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning

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).

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

Github: https://github.com/Yale-LILY/LectureBank

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Reference

With the help of TutorialBank (Fabbri et al. 2018) and two annotators, the authors created their own dataset, LectureBank. They used Doc2Vec model to train the datasets to topic representations that used as input to prerequisite relations learning models.

Learn Before

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