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We study a new application for text generation -- idiomatic sentence generation -- which aims to transfer literal phrases in sentences into their idiomatic counterparts.
Roberta: A robustly optimized bert pretraining approach
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Lexical access during the production of idiomatic phrases
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Idioms and formulaic language
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Multiword expressions
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Two puzzles for linguistic theory: Nativelike selection and nativelike fluency
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Incorporating copying mechanism in sequence-to-sequence learning
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Phrasal substitution of idiomatic expressions
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Neural paraphrase generation with stacked residual lstm networks
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Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018 · 2018
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Fixing weight decay regularization in adam
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Replacing idioms based on their figurative usage
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Multiple-attribute text style transfer
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Unpaired sentiment-to-sentiment translation: A cycled reinforcement learning approach
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Geometry of compositionality
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Toward controlled generation of text
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Attention is all you need
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Idiomatic expressions evoke stronger emotional responses in the brain than literal sentences
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Reinforcement learning based text style transfer without parallel training corpus
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Language models are unsupervised multitask learners
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The development of idiom knowledge across the lifespan
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“transforming” delete, retrieve, generate approach for controlled text style transfer
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An end-to-end generative architecture for paraphrase generation
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Vocabulary in language teaching
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