1. 1. Sho Takase “Neural headline generation on abstract meaning representation.
   2. See, A., Liu, P.J. and Manning, C.D., 2017. Get to the point: Summarization with pointer-generator networks. Ar Xiv preprint arXiv: 1704.04368.
   3. Bahdanau, D., Cho, K. and Bengio, Y., 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.
   4. Chen, Q., Zhu, X., Ling, Z., Wei, S. and Jiang, H., 2016. Distraction-based neural networks for document summarization. arXiv preprint arXiv:1610.08462.
   5. Cheung, J.C.K. and Penn, G., 2014. Unsupervised sentence enhancement for automatic summarization. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 775-786)
   6. Chopra, S., Auli, M. and Rush, A.M., 2016. Abstractive sentence summarization with attentive recurrent neural networks. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 93-98).
   7. Gu, J., Lu, Z., Li, H. and Li, V.O., 2016. Incorporating copying mechanism in sequence-tosequence learning. arXiv preprint arXiv:1603.06393.