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.
Software Download
Paper :
Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora
(external link)