P-Reader: A Clue-Inspired Model for Machine Reading Comprehension

Author:

Kang Jiahao,Yang Liang,Sun Yuefan,Lin Yuan,Zhang Shaowu,Lin Hongfei

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: 3rd International Conference on Learning Representations, ICLR, San Diego (2015)

2. Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, Long Beach, USA, pp. 5998–6008 (2017)

3. Seo, M.J., Kembhavi, A., Farhadi, A., Hajishirzi, H.: Bidirectional attention flow for machine comprehension. In: 5th International Conference on Learning Representations, ICLR, Toulon (2017)

4. Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: Squad: 100, 000+ questions for machine comprehension of text. In: Su, J., Carreras, X., Duh, K. (eds.) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP, Austin, pp. 2383–2392. ACL (2016)

5. Wang, W., Yang, N., Wei, F., Chang, B., Zhou, M.: Gated self-matching networks for reading comprehension and question answering. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL, Vancouver, Volume 1: Long Papers, pp. 189–198. ACL (2017)

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