Papers by Mohammady Mahdy
Autoencoding Keyword Correlation Graph for Document Clustering (2020.acl-main)
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| Challenge: | Existing representation learning models do not capture the intra-sentential and inter-sententential features of long-text. |
| Approach: | They propose a graph-based representation for document clustering that builds a Graph Autoencoder on a Keyword Correlation Graph. |
| Outcome: | The proposed graph autoencoder can achieve better clustering performance than existing features. |