Papers with deep feature representations
PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection (2023.findings-emnlp)
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| Challenge: | Readability assessment aims to automatically classify texts based on readers’ reading levels. |
| Approach: | They propose a hybrid automatic readability assessment model using prompts to improve deep feature representations and an orthogonal projection layer to fuse both deep and linguistic features. |
| Outcome: | The proposed model outperforms state-of-the-art models over four English and two Chinese corpora and demonstrates that it is more efficient than existing models. |