Papers by Vanessa Yan
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders (2021.acl-short)
Copied to clipboard
| Challenge: | Existing methods to learn prerequisite relations between concepts require annotated concept pairs during training. |
| Approach: | They propose to use an optimized variational graph autoencoder to learn prerequisite chains in unsupervised manner using an information-rich domain and an information poor domain. |
| Outcome: | The proposed model learns to transfer concept prerequisite relations from an information-rich domain (source domain) to an information poor domain (target domain) the annotated data and resources as well as the code will be made publicly available. |