Papers by Simin Rao
Cross-Lingual Leveled Reading Based on Language-Invariant Features (2021.findings-emnlp)
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| Challenge: | Leveled reading (LR) aims to automatically classify texts by the cognitive levels of readers. |
| Approach: | They propose to use adversarial training and cross-lingual pre-training methods to transfer LR knowledge from annotated data in resource-rich English to Chinese. |
| Outcome: | The proposed method captures language-invariant features between English and Chinese. |
Promoting Pre-trained LM with Linguistic Features on Automatic Readability Assessment (2022.aacl-short)
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| Challenge: | Automatic readability assessment (ARA) aims at classifying the readability level of a text automatically. |
| Approach: | They propose to integrate linguistic features with pre-trained language models to improve the accuracy of ARA. |
| Outcome: | The proposed algorithm improves on the long passage characteristic of ARA using commonly used linguistic features and abundant datasets. |