FastKnowledgeGraph

所属分类:图神经网络
开发工具:Python
文件大小:21985KB
下载次数:0
上传日期:2022-09-30 02:59:19
上 传 者sh-1993
说明:  一种快速的知识图构建方法及其在中文病案和财经新闻中的应用。销售代表...
(A fast method for Knowledge Graph construction and application in Chinese medical records and financial news. The repository is maintaing by students from Shanghai University of International Business and Economics(SUIBE).)

文件列表:
GraphShow.py (2486, 2022-09-30)
Label (0, 2022-09-30)
Label\Chapter01 (0, 2022-09-30)
Label\Chapter02 (0, 2022-09-30)
Label\LANN2 (0, 2022-09-30)
Label\LANN2\0.png (4738, 2022-09-30)
Label\LANN2\1.png (5186, 2022-09-30)
Label\LANN2\2.png (4735, 2022-09-30)
Label\LANN2\FileSaver.js (5674, 2022-09-30)
Label\LANN2\FileSaver.min.js (2611, 2022-09-30)
Label\LANN2\LAnn2NER.py (3559, 2022-09-30)
Label\LANN2\LAnn2Triple.py (11979, 2022-09-30)
Label\LANN2\LittleAnn.html (113162, 2022-09-30)
Label\LANN2\diction.dic (2050, 2022-09-30)
Label\LANN2\entity_relation_class_config.png (236417, 2022-09-30)
Label\LANN2\entity_type.js (213, 2022-09-30)
Label\LANN2\example.gif (6725738, 2022-09-30)
Label\LANN2\jquery.min.js (95962, 2022-09-30)
Label\LANN2\key_config.png (218175, 2022-09-30)
Label\LANN2\keybind.js (2655, 2022-09-30)
Label\LANN2\model_config.png (18793, 2022-09-30)
Label\LANN2\mousetrap.min.js (4985, 2022-09-30)
Label\LANN2\qwebchannel.js (16144, 2022-09-30)
Label\LANN2\relation_type.js (404, 2022-09-30)
Label\LANN2\server.js (8553, 2022-09-30)
Label\LANN2\test.txt (1642, 2022-09-30)
Label\LANN3 (0, 2022-09-30)
Label\LANN3\0.png (4738, 2022-09-30)
Label\LANN3\1.png (5186, 2022-09-30)
Label\LANN3\2.png (4735, 2022-09-30)
Label\LANN3\FileSaver.js (5674, 2022-09-30)
Label\LANN3\FileSaver.min.js (2611, 2022-09-30)
Label\LANN3\LAnn-Closed-Relation-for-MDD.zip (7132130, 2022-09-30)
Label\LANN3\LAnn2NER.py (3559, 2022-09-30)
Label\LANN3\LAnn2Triple.py (11979, 2022-09-30)
... ...

# FastKnowledgeGraph A fast method for Knowledge Graph construction and application in Chinese medical records and financial news. **Programme 1: TextGrapherSimple** A simple knowledge graph created by unsupervised methods that called dependency sentence grammar analysis. It comes from lhy updated by He_Yihui. It depends **pyltp==3.4.0** which can be installed by pip and **ltp_data==3.3.1** which can be downloaded by http://ltp.ai/download.html. Running TextGrapher_try.py and getting: !["Russia-news"](https://github.com/mathslingo/FastKnowledgeGraph/blob/main/luqi.png "俄乌新闻语料图谱 KG of Russia-Ukrain News") https://github.com/mathslingo/FastKnowledgeGraph/blob/main/graph_luqi.html

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