This project forked from clayandgithub/rnn_ner
chinese word segmentation based on rnn
说明： 利用rnn实现命名实体识别算法 源码参考:http://www.jianshu.com/p/7e233ef57cb6 数据集下载地址：http://pan.baidu.com/s/1jIyNT7w
训练步骤： 1 用现有的语料库（已经切分好）训练出word2vec的model 2 预训练处理语料库得到训练输入和测试输入 3 构建rnn并进行训练，在训练的同时测试准确率 4 根据训练好的model得到可能的序列组合，并利用viterbi算法选择出其中可能性最大的一个序列
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