Neural Paraphrase Generation with Stacked Residual LSTM Networks

COLING 2016 Aaditya PrakashSadid A. HasanKathy LeeVivek DatlaAshequl QadirJoey LiuOladimeji Farri

In this paper, we propose a novel neural approach for paraphrase generation. Conventional para- phrase generation methods either leverage hand-written rules and thesauri-based alignments, or use statistical machine learning principles... (read more)

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