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Multiway Bidirectional Attention and External Knowledge ...
IEEE Xplore
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IEEE Xplore
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由 D Zou 著作2022被引用 2 次 — This study presents a machine reading comprehension model based on external knowledge. We use a framework named K-Adapter to infuse two kinds of external ...
Multiway Bidirectional Attention and External Knowledge ...
IEEE Xplore
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IEEE Xplore
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由 D Zou 著作2022被引用 2 次 — In a multiple-choice MRC task, each question is accompanied by several candidates, only one of which is correct. Existing reading comprehension models usually ...
6 頁
Four-way Bidirectional Attention for Multiple-choice ...
ResearchGate
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ResearchGate
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Multiway Bidirectional Attention and External Knowledge for Multiple-choice Reading Comprehension. Conference Paper. Oct 2022. Dongsheng Zou · Xiaotong Zhang ...
Xiaotong Zhang's research works | Chongqing University ...
ResearchGate
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ResearchGate
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Multiway Bidirectional Attention and External Knowledge for Multiple-choice Reading Comprehension · Conference Paper. October 2022. ·. 3 Reads. ·. 2 Citations.
A Multi-Attention Matching Model for Multiple-Choice ...
World Scientific Publishing
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World Scientific Publishing
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由 L Duan 著作2020 — In this paper, we propose an end-to-end deep learning model. It employs Bi-GRU to contextually encode passages and question, and specifically models complex ...
[PDF] A Co-Matching Model for Multi-choice Reading ...
Semantic Scholar
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Semantic Scholar
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Multiway Bidirectional Attention and External Knowledge for Multiple-choice Reading Comprehension · Computer Science. 2022 IEEE International Conference on ...
重庆大学主页平台管理系统邹东升
重庆大学
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重庆大学
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Multiway Bidirectional Attention and External Knowledge for Multiple-choice Reading Comprehension. SMC 2022: 694-699. [8] XiaoTong Zhang, Dongsheng Zou ...
Commonsense Evidence Generation and Injection in ...
ACL Anthology
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ACL Anthology
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由 Y Liu 著作2020被引用 14 次 — Sec- ond, how to use external knowledge to gain contex- tual understanding between the paragraph, question and option set is difficult but important. Despite ...
13 頁
arXiv:2005.05240v1 [cs.AI] 11 May 2020
arXiv
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arXiv
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由 Y Liu 著作2020被引用 14 次 — Convolutional spatial atten- tion model for reading comprehension with multiple- choice questions. Proceedings of the AAAI. Hon- olulu, HI ...
Keywords-aware dynamic graph neural network for multi- ...
ScienceDirect.com
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ScienceDirect.com
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由 M Jia 著作2022被引用 9 次 — In this paper, we propose a strategy of keywords-aware dynamic graph neural network (KA-DGN) to improve the performance of multi-hop reading comprehension.