Papers with supervised BWE methods

1 papers
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.

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