Papers with BWE
Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision (N19-1)
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| Challenge: | Unsupervised BWE methods are evaluated on word translation or word similarity tasks. |
| Approach: | They propose a method that learns sentiment-specific word representations for two languages in a common space without cross-lingual supervision. |
| Outcome: | The proposed method outperforms previous unsupervised BWE methods and even supervised Bwe methods on three language pairs for cross-lingual sentiment analysis. |
Unsupervised Joint Training of Bilingual Word Embeddings (P19-1)
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| Challenge: | Existing methods for unsupervised bilingual word embeddings are limited by the dissimilarity between the word embedded spaces. |
| Approach: | They propose a method that trains unsupervised bilingual word embeddings jointly on parallel data generated through unsupervised machine translation. |
| Outcome: | The proposed method outperforms unsupervised mapped bilingual word embeddings in cross-lingual NLP tasks. |
CIS-BWE: Chaos-Informed Speech Bandwidth Extension (2026.acl-long)
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| Challenge: | CIS-BWE introduces two chaos-informed discriminators for capturing the deterministic chaos from speech. |
| Approach: | They propose a novel adversarial Bandwidth Extension framework that introduces two chaos-informed discriminators for capturing the deterministic chaos from speech. |
| Outcome: | The proposed framework achieves better performance across nine subjective and objective evaluation metrics with a 40x reduction in discriminator size and overall 0.5x fewer parameters, establishing a new baseline in the BWE task. |