Papers by Chakib Fettal
More Discriminative Sentence Embeddings via Semantic Graph Smoothing (2024.eacl-short)
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| Challenge: | Text categorization is a natural language processing task that involves arranging texts into coherent groups based on their content. |
| Approach: | They propose to use semantic graph smoothing to enhance sentence embeddings from pretrained models to improve results for supervised and unsupervised document categorization tasks. |
| Outcome: | The proposed method improves sentences embeddings for supervised and unsupervised document categorization tasks. |