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Advances in neural information processing systems , Vol. 27 ( 2014 ). Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014. Sequence to sequence learning with neural networks. Advances in neural information processing systems, Vol. 27 (2014)."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00660"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018909"},{"key":"e_1_3_2_2_41_1","volume-title":"Theme-aware generation model for chinese lyrics. arXiv preprint arXiv:1906.02134","author":"Wang Jie","year":"2019","unstructured":"Jie Wang and Xinyan Zhao . 2019. Theme-aware generation model for chinese lyrics. arXiv preprint arXiv:1906.02134 ( 2019 ). Jie Wang and Xinyan Zhao. 2019. 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