KBQA_zh:基于BERT的KBQA，包含joint和pipeline两种模式
KBQA_zh
基于bert的KBQA，包含joint和pipeline两种模式
Introduction
本项目是一个基于知识三元组的简单的问答系统，分为joint和pipeline两种模式。joint模式为基于bert做意图识别和命名体识别的联合学习训练得到的模型，pipeline模式为单独训练命名实体识别和QA相似度模型。
Environment
tensorflow 1.15
python 3.6
pymysql 0.10.1
grpcio 1.32.0
grpcio-tools 1.32.0
How to run
首先需要下载bert的中文预训练模型放在chinese_L-12_H-768_A-12文件夹下，
然后，以pipeline模式为例，执行如下命令，训练命名实体识别模型和问答模型：
1. cd qa_pipeline
2. sh run_ner.sh
3. sh run_
文件下载
资源详情
[{"title":"（ 66 个子文件 4.68MB ） KBQA_zh:基于BERT的KBQA，包含joint和pipeline两种模式","children":[{"title":"KBQA_zh-master","children":[{"title":"README.md <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"bert","children":[{"title":"predicting_movie_reviews_with_bert_on_tf_hub.ipynb <span style='color:#111;'> 64.93KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 49.33KB </span>","children":null,"spread":false},{"title":"tokenization.py <span style='color:#111;'> 11.97KB </span>","children":null,"spread":false},{"title":"optimization.py <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false},{"title":"run_squad.py <span style='color:#111;'> 45.44KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"multilingual.md <span style='color:#111;'> 10.98KB </span>","children":null,"spread":false},{"title":"modeling_test.py <span style='color:#111;'> 8.98KB </span>","children":null,"spread":false},{"title":"CONTRIBUTING.md <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"create_pretraining_data.py <span style='color:#111;'> 16.09KB </span>","children":null,"spread":false},{"title":"tokenization_test.py <span style='color:#111;'> 4.48KB </span>","children":null,"spread":false},{"title":"optimization_test.py <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"sample_text.txt <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 616B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 110B </span>","children":null,"spread":false},{"title":"run_classifier.py <span style='color:#111;'> 34.00KB </span>","children":null,"spread":false},{"title":"run_classifier_with_tfhub.py <span style='color:#111;'> 11.16KB </span>","children":null,"spread":false},{"title":"extract_features.py <span style='color:#111;'> 13.57KB </span>","children":null,"spread":false},{"title":"run_pretraining.py <span style='color:#111;'> 18.23KB </span>","children":null,"spread":false},{"title":"modeling.py <span style='color:#111;'> 37.03KB </span>","children":null,"spread":false}],"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"qa_joint","children":[{"title":"qa_joint_pb2_grpc.py <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"joint_module.py <span style='color:#111;'> 8.78KB </span>","children":null,"spread":false},{"title":"run_joint.sh <span style='color:#111;'> 518B </span>","children":null,"spread":false},{"title":"joint_classifier.py <span style='color:#111;'> 33.61KB </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 5.18KB </span>","children":null,"spread":false},{"title":"qa_joint_client.py <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"qa_joint_pb2.py <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"metrics.cpython-36.pyc <span style='color:#111;'> 4.73KB </span>","children":null,"spread":false},{"title":"qa_joint_pb2.cpython-36.pyc <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false},{"title":"joint_module.cpython-36.pyc <span style='color:#111;'> 6.42KB </span>","children":null,"spread":false}],"spread":true},{"title":"qa_joint.proto <span style='color:#111;'> 533B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"JOINT_Data","children":[{"title":"test.tsv <span style='color:#111;'> 1.13MB </span>","children":null,"spread":false},{"title":"train.tsv <span style='color:#111;'> 1.64MB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"qa_joint_server.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false}],"spread":false},{"title":"emo.png <span style='color:#111;'> 266.12KB </span>","children":null,"spread":false},{"title":"qa_pipeline","children":[{"title":"ner_module.py <span style='color:#111;'> 7.37KB </span>","children":null,"spread":false},{"title":"chinese_ner.py <span style='color:#111;'> 27.94KB </span>","children":null,"spread":false},{"title":"run_qa.sh <span style='color:#111;'> 497B </span>","children":null,"spread":false},{"title":"qa_pipeline_pb2_grpc.py <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false},{"title":"qa_server.py <span style='color:#111;'> 901B </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 5.18KB </span>","children":null,"spread":false},{"title":"qa_pipeline_pb2.py <span style='color:#111;'> 4.12KB </span>","children":null,"spread":false},{"title":"run_ner.sh <span style='color:#111;'> 502B </span>","children":null,"spread":false},{"title":"qa_system.py <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"metrics.cpython-36.pyc <span style='color:#111;'> 4.72KB </span>","children":null,"spread":false},{"title":"qa_pipeline_pb2.cpython-36.pyc <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"ner_module.cpython-36.pyc <span style='color:#111;'> 5.46KB </span>","children":null,"spread":false},{"title":"qa_system.cpython-36.pyc <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"chinese_ner.cpython-36.pyc <span style='color:#111;'> 19.88KB </span>","children":null,"spread":false},{"title":"qa_pipeline_pb2_grpc.cpython-36.pyc <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"qa_module.cpython-36.pyc <span style='color:#111;'> 4.61KB </span>","children":null,"spread":false},{"title":"chinese_qa.cpython-36.pyc <span style='color:#111;'> 19.23KB </span>","children":null,"spread":false}],"spread":false},{"title":"qa_module.py <span style='color:#111;'> 6.49KB </span>","children":null,"spread":false},{"title":"qa_client.py <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"qa_pipeline.proto <span style='color:#111;'> 536B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"NER_Data","children":[{"title":"test.tsv <span style='color:#111;'> 906.77KB </span>","children":null,"spread":false},{"title":"train.tsv <span style='color:#111;'> 1.28MB </span>","children":null,"spread":false}],"spread":false},{"title":"DB_Data","children":[{"title":"test.tsv <span style='color:#111;'> 2.84MB </span>","children":null,"spread":false},{"title":"train.tsv <span style='color:#111;'> 4.01MB </span>","children":null,"spread":false}],"spread":false},{"title":"kbqa.kb <span style='color:#111;'> 29.15KB </span>","children":null,"spread":false}],"spread":false},{"title":"chinese_qa.py <span style='color:#111;'> 27.76KB </span>","children":null,"spread":false}],"spread":false},{"title":"chinese_L-12_H-768_A-12","children":[{"title":"readme.md <span style='color:#111;'> 98B </span>","children":null,"spread":false}],"spread":true},{"title":"KGMySql.py <span style='color:#111;'> 719B </span>","children":null,"spread":false}],"spread":true}],"spread":true}]
评论信息
其他资源
- 神猴水果游戏PHP源码.zip完整包
- WindosXP远程连接补丁KB952155
- 柔性直流输电
- 手写体识别(数据集+代码+结果).zip
- MATLAB下的数字调制样式识别-其它文档类资源
- 白化滤波器Matlab
- Matlab 鼠标抓取三维点坐标
- 在可变分区管理方式下采用最先适应算法实现主存分配和实现主存回收
- 编程演示三种存储管理方式的地址换算过程 源文件+报告
- opencv 训练 xml文件 haar
- ABAQUS用户子程序全书USERSUBroutine
- 基于单片机的RCL测试仪
- Git 2.22.0 64bit for Windows 免安装版
- [中文]Leap Motion官方开发文档
- MOC3043光耦隔离3路可控硅控制模块ALTIUM设计电原理图+pcb+封装库.zip
- 通信原理动画——全了
- 智能台灯系统设计
- paramiko-1.15.1.tar.gz
- 基于重复控制的研究
- 数学分析简明教程第二版-邓东皋-课后作业.rar
- asp.net 图书管理系统 课程设计
- rgbcolor.js
- Docker in Action(Manning,2016)
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明