读论文Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
读论文Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank 原地址：https://blog.csdn.net/qq_31456593/article/details/89397144 本文介绍了递归神经张量网络。当在新的树库上进行训练时，该模型在几个指标上胜过所有先前的方法。 它将单句正/负分类
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相关文章
- 1. 论文阅读Recursive Deep Models
- 2. 读论文 Deep Recursive Neural Networks for Compositionality in Language
- 3. Machine Learning & Deep Learning 论文阅读笔记
- 4. Lecture 18: Tree Recursive Neural Networks, Constituency Parsing, and Sentiment
- 5. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 6. Linguistically Regularized LSTMs for Sentiment Classification
- 7. 读论文《Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions》
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