Comments (6)
from entity-recognition-and-relation-extraction.
我指的是你的单独的关系抽取部分,不是联合抽取哈
from entity-recognition-and-relation-extraction.
关系抽取里面并没有用到实体标签信息
这部分只是预测关系矩阵;
可以认为网络在学习关系矩阵时,从句子中学到了跟实体有关的知识
from entity-recognition-and-relation-extraction.
好的 感谢!
from entity-recognition-and-relation-extraction.
你好,我又来打扰了,请问left和right两个网络层以及它们进行broadcasting的目的是什么呢?
from entity-recognition-and-relation-extraction.
左右两个进行维度上拼接,left=[16,128,100], right=[16,128,100]; broadcasting后[16,128,128,100]
处理后的数据,是关系识别需要的,因为网络中关系矩阵是4维的
from entity-recognition-and-relation-extraction.
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from entity-recognition-and-relation-extraction.