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

Nateve compiler developed with python.

Adam Adam is a Nateve Programming Language compiler developed using Python. Nateve Nateve is a new general domain programming language open source ins

7 Jan 15, 2022

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an

2 Jun 30, 2022

A library for end-to-end learning of embedding index and retrieval model

Poeem Poeem is a library for efficient approximate nearest neighbor (ANN) search, which has been widely adopted in industrial recommendation, advertis

54 Dec 21, 2022

A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

spaCyOpenTapioca A spaCy wrapper of OpenTapioca for named entity linking on Wikidata. Table of contents Installation How to use Local OpenTapioca Vizu

80 Jan 03, 2023

Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

22 Oct 21, 2022

Header-only C++ HNSW implementation with python bindings

Hnswlib - fast approximate nearest neighbor search Header-only C++ HNSW implementation with python bindings. NEWS: version 0.6 Thanks to (@dyashuni) h

2.3k Jan 05, 2023

Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.

2 Jan 20, 2022

Implementaion of our ACL 2022 paper Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation This is the implementaion of our paper: Bridging the

20 Dec 12, 2022

The (extremely) naive sentiment classification function based on NBSVM trained on wisesight_sentiment

thai_sentiment The naive sentiment classification function based on NBSVM trained on wisesight_sentiment วิธีติดตั้ง pip install thai_sentiment==0.1.3

7 Dec 08, 2022

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Tensor2Tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and ac

12.9k Jan 07, 2023

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

A sample Python project A sample project that exists as an aid to the Python Packaging User Guide's Tutorial on Packaging and Distributing Projects. T

4.5k Dec 30, 2022

使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征，提升下游任务的表现。

Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。基于pytorch框架，训练关于垂直领域语料的预训练语言模型，目的是提升下游任务的表现。 Pretraining Task Mask Language Model，简称Mask LM，即

24 Dec 10, 2022

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

fastNLP fastNLP是一款轻量级的自然语言处理（NLP）工具包，目标是快速实现NLP任务以及构建复杂模型。 fastNLP具有如下的特性：统一的Tabular式数据容器，简化数据预处理过程；内置多种数据集的Loader和Pipe，省去预处理代码; 各种方便的NLP工具，例如Embedd

2.8k Jan 01, 2023

MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking.

MILES Multilingual Lexical Simplifier Explore the docs » Read LSBert Paper · Report Bug · Request Feature About The Project MILES is a multilingual te

45 Oct 19, 2022