Publications

CONFERENCE (INTERNATIONAL) Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora

Canasai Kruengkrai

2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)

November 07, 2019

Flipping sentiment while preserving sentence meaning is challenging because parallel sentences with the same content but different sentiment polarities are not always available for model learning. We introduce a method for acquiring imperfectly aligned sentences from non-parallel corpora and propose a model that learns to minimize the sentiment and content losses in a fully end-to-end manner. Our model is simple and offers well-balanced results across two domains: Yelp restaurant and Amazon product reviews.

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Paper : Learning to Flip the Sentiment of Reviews from Non-Parallel Corporaopen into new tab or window (external link)