Cuisine 发表于 2025-3-25 04:52:40
A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extractionentence-level enhancement makes the model concentrate more on effective content. Experimental results on RAMS and WikiEvents demonstrate that our proposed model can obtain state-of-the-art performance in Implicit EAE.左右连贯 发表于 2025-3-25 09:39:35
http://reply.papertrans.cn/67/6619/661806/661806_22.pngbabble 发表于 2025-3-25 14:48:40
Dual-Prompting Interaction with Entity Representation Enhancement for Event Argument Extractionemployed to predict the start and end word among the input for each role. In addition, DPIERE devises position marks in event prompt template to distinguish multiple occurrences of the same argument role. Comprehensive experimental results on three benchmarks show the effectiveness of our proposed a心神不宁 发表于 2025-3-25 16:44:33
http://reply.papertrans.cn/67/6619/661806/661806_24.pngWordlist 发表于 2025-3-25 21:34:10
Coarse-to-Fine Entity Representations for Document-Level Relation Extractionas a guidance to selectively aggregate path information between the target entity pair at a fine level. In classification, we combine the entity representations from both two levels into more comprehensive representations for relation extraction. Experimental results on two document-level RE dataset过多 发表于 2025-3-26 04:02:56
http://reply.papertrans.cn/67/6619/661806/661806_26.pngAphorism 发表于 2025-3-26 05:11:17
Sheng Li,Rong Yan,Qing Wang,Juru Zeng,Xun Zhu,Yueke Liu,Henghua Liadroit 发表于 2025-3-26 08:49:26
http://reply.papertrans.cn/67/6619/661806/661806_28.png贸易 发表于 2025-3-26 14:51:12
Jing Xu,Ruifang He,Haodong Zhao,Huijie Wang,Lei ZengProclaim 发表于 2025-3-26 20:06:27
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