坚毅
发表于 2025-3-23 12:12:41
http://reply.papertrans.cn/103/10217/1021658/1021658_11.png
多样
发表于 2025-3-23 17:48:15
http://reply.papertrans.cn/103/10217/1021658/1021658_12.png
催眠
发表于 2025-3-23 19:14:39
http://reply.papertrans.cn/103/10217/1021658/1021658_13.png
intrude
发表于 2025-3-23 23:18:38
http://reply.papertrans.cn/103/10217/1021658/1021658_14.png
外来
发表于 2025-3-24 05:57:11
http://reply.papertrans.cn/103/10217/1021658/1021658_15.png
muscle-fibers
发表于 2025-3-24 08:55:48
http://reply.papertrans.cn/103/10217/1021658/1021658_16.png
HAIRY
发表于 2025-3-24 14:30:31
http://reply.papertrans.cn/103/10217/1021658/1021658_17.png
泥瓦匠
发表于 2025-3-24 16:41:23
http://reply.papertrans.cn/103/10217/1021658/1021658_18.png
断断续续
发表于 2025-3-24 21:12:09
http://reply.papertrans.cn/103/10217/1021658/1021658_19.png
nettle
发表于 2025-3-24 23:24:46
SE-GCN: A Syntactic Information Enhanced Model for Aspect-Based Sentiment Analysisnt years is mainly based on graph convolutional networks, and although much progress has been made, the existing methods focus on utilizing sequence information or syntactic dependency constraints within the text, but without fully utilizing the type of dependency relationships between the aspect te