针对短语/句子/序列的相似性比较提出了一种评价模型——Siamese LSTM（孪生网络）。该模型是输入为句子对，输出为输入句子对的相似性得分，基于Keras实现。训练35轮左右模型达到拟合，测试集准确率87%
-
Notifications
You must be signed in to change notification settings - Fork 1
arlenzhu/SiameseLSTM-Keras
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
句子相似度计算、LSTM、Keras
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published