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. |
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Multi-Source Cross-Lingual Model Transfer: Learning What to Share (P19-1)
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Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages (2022.acl-long)
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