Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning

Author:

You Hao,Huang Heyan,Hu Yue,Xu Yongxiu

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Beltagy, I., Peters, M.E., Cohan, A.: Longformer: the long-document transformer. arXiv preprint arXiv:2004.05150 (2020)

2. Bhargav, G.S., et al.: Translucent answer predictions in multi-hop reading comprehension. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 7700–7707 (2020)

3. Chen, J., Lin, S.T., Durrett, G.: Multi-hop question answering via reasoning chains. arXiv preprint arXiv:1910.02610 (2019)

4. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597–1607. PMLR (2020)

5. De Cao, N., Aziz, W., Titov, I.: Question answering by reasoning across documents with graph convolutional networks. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2306–2317 (2019)

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