CMeEE 数据集医学实体抽取

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!

image-20210914093108205.png

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