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Related Papers

Neural Paraphrase Generation with Stacked Residual LSTM Networks

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractIn this paper, we propose a novel neural approach for paraphrase generation. Conventional paraphrase generation methods either leverage hand-written rules and thesauri-based alignments, or use statistical machine learning principles. To …...

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