Papers by Marisa Vasconcelos
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer (2020.findings-emnlp)
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| Challenge: | Existing methods for sentiment transfer have relied on unsupervised methods due to lack of parallel corpora. |
| Approach: | They propose a method for creating parallel data to train Seq2Seq neural networks for sentiment transfer. |
| Outcome: | The proposed method outperforms existing unsupervised methods in sentiment transfer tasks. |