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CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction

Ruri Liu, Shasha Mo, Jianwei Niu 0002, Shengda Fan. CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction. In Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, YoungGyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na, editors, Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022. pages 2247-2258, International Committee on Computational Linguistics, 2022. [doi]

Authors

Ruri Liu

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Shasha Mo

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Jianwei Niu 0002

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Shengda Fan

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