Papers by Harshit Nyati

1 papers
Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer (2021.acl-short)

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Challenge: Existing methods for unsupervised text style transfer focus on transferring a specific attribute, but this technique has never been explored in natural language generation tasks.
Approach: They propose a counterfactual-based method to modify latent representations by posing a ‘what-if’ scenario.
Outcome: The proposed method is tested on multiple attribute transfer tasks like Sentiment, Formality and Excitement to support the hypothesis.

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