Joint embedding of words and labels for text classification 论文解读
Joint embedding of words and labels for text classification 论文解读
模型结构
X:[batch_size, sequence_length, vocab_size] one-hot表示每个词/字的输入数据
y:[batch_size, class_nums] 输入数据的标签
V:[batch_size, embedding_size, sequence_length] 词向量表示每个词/字的输入数据
C:[embedding_size, cl
原创
2020-10-07 17:35:56 ·
560 阅读 ·
1 评论