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Chao Liang1, Bang Wang2, Chuanhong Zhan1

  • 1School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.

概括

本研究介绍了事件图表完成 (EGC) 任务,以预测缺失的事件关系. 拟议的多重图速学习和注意融合 (PLAF) 模型有效地提高了事件图的完整性和实用性.

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