Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

能简单说明一下您实现的RNN、LSTM部分的原理吗 #4

Open
yuppx opened this issue May 11, 2021 · 1 comment
Open

能简单说明一下您实现的RNN、LSTM部分的原理吗 #4

yuppx opened this issue May 11, 2021 · 1 comment

Comments

@yuppx
Copy link

yuppx commented May 11, 2021

涉及这部分的一点原理向您咨询一下
dataset.npz是类似于词向量吗
词向量是什么方法得到的?
rnn&lstm生成关键词的方法是直接抽取式呢?
还是从候选关键词中进行权重计算挑选呢?
是后者的话候选关键词是如何得到的呢?是所有的分词结果吗?
还是其他的方法,谢谢谢谢

@Tony0726
Copy link
Owner

dataset.npz存储的就是词向量,词向量是用每个词的位置、词频和TF-IDF三个值来表示,本文全部方法都是抽取关键词,对一句话分词且去停用词后的每个词进行二分类,是关键词和不是两类,然后按概率排位。

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants