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NLP笔记

这里记下我的NLP笔记,2021年1月开始为毕业论文做准备,因为专业非CS,偏应用向

自然语言处理工具

  1. NLTK:https://github.com/nltk/nltk
  2. 图数据元学习:https://github.com/THUMNLab/AutoGL
  3. 文本数据元学习:https://github.com/awslabs/autogluon
  4. 百度nlp开箱即用工具集:https://nlp.baidu.com/homepage/nlptoolshttps://github.com/PaddlePaddle/models/tree/develop/PaddleNLP
  5. 一个小玩具snownlp:https://github.com/isnowfy/snownlp
  6. 百度分词,词性标注,命名实体识别:https://github.com/baidu/lac
  7. 百度情感分析:https://github.com/baidu/Senta
  8. 百度开源的依存句法分析系统:https://github.com/baidu/DDParser
  9. 信息抽取工具集(抽出三元组):https://www.jianshu.com/p/a1994336af2d
  10. 中文命名实体识别和关系抽取:https://zhuanlan.zhihu.com/p/268625650

社区

中文开放知识图谱:http://openkg.cn/home

大佬

中科院刘焕勇:https://liuhuanyong.github.io/

项目

  1. 罪名法务问答:https://github.com/liuhuanyong/CrimeKgAssitant
  2. 相似案件匹配:https://github.com/padeoe/cail2019
  3. 林业法律法规问答:https://github.com/17680329677/Forestry_LAW
  4. 知识图谱学习(医药问答):https://github.com/datawhalechina/team-learning-nlp/tree/master/KnowledgeGraph_Basic
  5. 罪名判决根据卷宗预测:https://github.com/liuhuanyong/LawCrimeMining

资源

  1. 中文词向量:https://github.com/Embedding/Chinese-Word-Vectors
  2. nlp资源库:https://github.com/fighting41love/funNLP
  3. 中科院NLPAPI:https://nlp.datahorizon.cn/help.cgi.html
  4. 法务nlp论文资源:https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work
  5. 东南大学知识图谱研究生课程:https://github.com/npubird/KnowledgeGraphCourse
  6. protegeweb:https://webprotege.stanford.edu/
  7. 知识推理实践:https://www.cnblogs.com/xiaoqi/p/kg-inference-1.html
  8. 知识图谱推理:http://reader.epubee.com/books/mobile/cc/cc219bda88f77cd8612c76540dd98cef/text00011.html
  9. 知识图谱推理方法总结:https://zhuanlan.zhihu.com/p/78744231https://zhuanlan.zhihu.com/p/42340077https://my.oschina.net/u/4581664/blog/4376159
  10. 华为知识图谱介绍:https://support.huaweicloud.com/usermanual-kg/kg_01_0004.html
  11. 图数据库:https://github.com/arangodb/arangodbhttps://github.com/JanusGraph/janusgraphhttps://github.com/cayleygraph/cayley
  12. 以知识为中心的情报智能:https://www.secrss.com/articles/14281

可视化工具

参考:https://zhuanlan.zhihu.com/p/148990503

  1. 社会关系可视化:https://github.com/gephi/gephi

  1. 图数据可视化与分析:https://github.com/antvis/graphin/深度截图_选择区域_20210115213436

  2. G6:https://github.com/antvis/G6