論 文Papers

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), 2019/11

Category:

自然言語処理 (Natural Language Processing)

Abstract:
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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Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora(外部サイト/External Site Link)