Cross-Lingual Event Detection via Optimized Adversarial Training (2022.naacl-main)
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| Challenge: | Recent work in this area has harnessed the language-invariant qualities of pre-trained Multi-lingual Language Models. |
| Approach: | They propose to use adversarial language adaptation to train a model to detect events in a target language. |
| Outcome: | The proposed model achieves state-of-the-art on 8 different language pairs, using 4 languages from unrelated families. |
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