CMeEE 数据集医学实体抽取

Last update: Dec 28, 2022

Related tags

Text Data & NLP GlobalPointer_torch

Overview

医学实体抽取_GlobalPointer_torch

介绍

思想来自于苏神 GlobalPointer，原始版本是基于keras实现的，模型结构实现参考现有 pytorch 复现代码【感谢!】，基于torch百分百复现苏神原始效果。

数据集

中文医学命名实体数据集点这里申请，很简单，共包含九类医学实体

环境

python 3.8.1
pytorch==1.8.1
transformer==4.9.2
tqdm
numpy

预训练模型

1、笔者比较喜欢用RoBerta系列 RoBERTa-zh-Large-PyTorch

2、点这里直接goole drive下载

运行

注意把train/predict文件中的 bert_model_path 路径改为你自己的

train

python train_CME.py

predict

python predict_CME.py

效果

苏神的模型效果还是不错的！

Owner

GitHub Repository

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