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tagging_je's Introduction

Tagging_JE

基于标记策略的联合抽取

数据包括

1.NYT，KBP，Webnlg数据集， 2.采用预训练的模型需要下载相应的参数w2v(),和bert() 3.使用nltk需要下载()

环境要求

python=2.7

tensorflow>=1.14

keras=2.3.1

nltk=3.4

运行

source run.sh #运行环境已被命名为py27

可选参数为：

        -input=./data/KBP_old/             \原始数据
        -output=./result/KBP_old/          \模型输出
        -e=./data/KBP_old/e2edata_word.pkl \对处理好的数据命名
        -modelname=Zheng                   \可选【Zheng,Ijcnn】,采用模型为Zheng, et al. 2017 还是Song et al 2019
        -emb=word                          \采用bert词嵌入还是word2vec
        -embtrainable=1                    \是否固定词嵌入参数
        -batch=64                          
        -epoch=50

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