Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange

IJCNLP 2019 Steven Y. FengAaron W. LiJesse Hoey

In this paper, we present a novel method for measurably adjusting the semantics of text while preserving its sentiment and fluency, a task we call semantic text exchange. This is useful for text data augmentation and the semantic correction of text generated by chatbots and virtual assistants... (read more)

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