thecharm / mega Goto Github PK
View Code? Open in Web Editor NEWCode for ACM MM 2021 Paper "Multimodal Relation Extraction with Efficient Graph Alignment".
License: MIT License
Code for ACM MM 2021 Paper "Multimodal Relation Extraction with Efficient Graph Alignment".
License: MIT License
咨询一下,这个模型训练使用的显卡设备是什么型号,想要做多模态关系抽取,至少需要什么型号的显卡
您好,我下载了数据集,但是图片无法查看,请问需要用什么软件打开图片。
请问一下,数据标注的时候是对一个句子中的所有实体对都会进行标注关系吗,因为观察到数据集中有大量的关系为None。
请问论文里代码结果随机种子的设置是多少呀?目前无法复现出论文的结果?其他设置与github描述设置的一致,但是设置不同的随机种子结果差异特别大,请问论文中的结果设置的随机种子是多少呀?
Hi, nice work and nice repo, but it seems that this repo does not contain the graph alignment part?
你好,我下载的ckpt里面是MEGA_ckpt.tar压缩包,并不是ckpt,而且训练的话,效果好像达不到论文里面的准确率
Hi, here are some questions puzzling me:
Hello, could you please provide the following pdf version of this paper? I want to read this paper. My email is [email protected]. Thx.
我已经依据脚本下载了数据集,分别是fewrel、nyt10、semeval和wiki80。这几个数据集没有图像数据如何利用这些数据去运行程序?还需要预处理这些数据?
self.pic_file_list = os.listdir(self.pic_path)
for pic_file in self.pic_file_list:
with open(os.path.join(self.pic_path, pic_file), 'r', encoding='utf-8') as f:
line_list = f.readlines()
feature_list = line_list[2].strip().split('\t')
class_list = line_list[1].strip().split('\t')
这里的pic_path,pic_file分别是imgSG/train, twitter_19_31_0_0.jpg时 出现'utf-8' codec can't decode byte 0xff in position 0: invalid start byte错误
想请教下读取图片特征时应该如何修改以及 class_list 和 feature_list分别是什么?
您好,祝贺您中了MM,我想看一下这个论文的内容,不知道您是否可以给我发一份pdf呢?我的邮箱是 [email protected],非常感谢!
作者你好,很高兴能够看到你的开源模型,在学习你的模型中关于图对齐部分,在StructuralAlign.py中的path_load应该写什么呢,我用的是data/combined_graph_edges_10/train,以及在定义属性attributes时,涉及到存节点属性的numpy矩阵文件路径,这个路径是什么?我没有找到,期待你的答复!
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