Piecewise graph convolutional network with edge-level attention for relation extraction

Author:

Yuan Changsen,Huang Heyan,Feng Chong,Cao Qianwen

Funder

the National Key R&D Plan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference40 articles.

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2. Chen J, Fu T, Lee C, Ma W (2021) H-FND: hierarchical false-negative denoising for distant supervision relation extraction. In: C. Zong, F. Xia, W. Li, R. Navigli (eds.) Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021, pp 2579–2593. Association for Computational Linguistics . https://doi.org/10.18653/v1/2021.findings-acl.228

3. Chen T, Shi H, Tang S, Chen Z, Wu F, Zhuang Y (2021) CIL: contrastive instance learning framework for distantly supervised relation extraction. In: C. Zong, F. Xia, W. Li, R. Navigli (eds.) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, pp. 6191–6200. Association for Computational Linguistics . https://doi.org/10.18653/v1/2021.acl-long.483

4. Defferrard M, Bresson X, Vandergheynst P (2016) Convolutional neural networks on graphs with fast localized spectral filtering. In: D.D. Lee, M. Sugiyama, U. von Luxburg, I. Guyon, R. Garnett (eds.) Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5–10, 2016, Barcelona, Spain, pp. 3837–3845. http://papers.nips.cc/paper/6081-convolutional-neural-networks-on-graphs-with-fast-localized-spectral-filtering

5. Dietterich TG, Lathrop RH, Lozano-Pérez T (1997) Solving the multiple instance problem with axis-parallel rectangles. Artif Intell 89(1–2):31–71. https://doi.org/10.1016/S0004-3702(96)00034-3

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