XLNet Chinese NER

基于Bi-LSTM + CRF 的中文机构名、人名、地名识别，MSRA NER语料，BIO标注

CMU XLNet

参考资料:

https://github.com/yanwii/ChineseNER

https://github.com/macanv/BERT-BiLSTM-CRF-NER

https://github.com/zihangdai/xlnet

https://github.com/ymcui/Chinese-PreTrained-XLNet

下载xlnet中文预训练模型

参考 https://github.com/ymcui/Chinese-PreTrained-XLNet
放到根目录 **chinese_xlnet_base_L-12_H-768_A-12** 下

用法

# 训练
python3 model.py --entry train
# 预测
python3 model.py --entry predict

介绍

xlnet 模型的加载和使用

def xlnet_layer(self):
    # 加载bert配置文件
    xlnet_config = xlnet.XLNetConfig(json_path = FLAGS.xlnet_config)
    run_config = xlnet.create_run_config(self.is_training, True, FLAGS)
    # 创建bert模型　
    xlnet_model = xlnet.XLNetModel(
        xlnet_config = xlnet_config,
        run_config = run_config,
        input_ids = self.input_ids,
        seg_ids = self.segment_ids,
        input_mask = self.input_mask)
    # 加载词向量
    self.embedded = xlnet_model.get_sequence_output()
    self.model_inputs = tf.nn.dropout(
        self.embedded, self.dropout
    )

xlnet 优化器

self.train_op, self.learning_rate, _ = model_utils.get_train_op(FLAGS, self.loss)