Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation

NAACL 2018 Shuming MaXu SunWei LiSujian LiWenjie LiXuancheng Ren

Most recent approaches use the sequence-to-sequence model for paraphrase generation. The existing sequence-to-sequence model tends to memorize the words and the patterns in the training dataset instead of learning the meaning of the words... (read more)

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