====== Resources ======
 

[[career_network:top|<< back to project home]]

== Domain-Specific Knowledge == 
Civil service system:
  * [[http://www.gov.cn/xinwen/2018-12/03/content_5345329.htm | 2019年度中央机关公开遴选和公开选调公务员公告]]
  * [[https://baike.baidu.com/item/中华人民共和国公务员级别/6041164?fromtitle=公务员级别&fromid=5751884 | 中华人民共和国公务员级别]]

== Literature & Tutorials ==
HMM: Hidden Markov Model
  * [[https://web.stanford.edu/~jurafsky/slp3/A.pdf | Hidden Markov Models]]: a paper talking about the HMM clearly
  * [[https://github.com/CQUPT-Wan/HMMwordseg.git | HMM on Chinese segmentation]]: Code implementation of HMM Viterbi

CRF: Conditional Random Fields
  * [[http://www.inference.org.uk/hmw26/crf/ | CRF literature summary]]: a literature review for CRF
  * [[http://www.cs.columbia.edu/~mcollins/crf.pdf | Log-Linear Models,MEMMs,and CRFs]]

== Tools ==
Chinese language segmentation 
  * [[https://github.com/hankcs/HanLP | HanLP]]: a comprehensive tool for Chinese NLP tasks
  * [[https://github.com/fxsjy/jieba | Jieba]]: a popular Chinese segmentation library
  * [[https://github.com/lancopku/PKUSeg-python | PKUseg ]]: a Multi-Domain Chinese Word Segmentation Toolkit



Tree data structure & visualization tools
  * [[https://treelib.readthedocs.io/en/latest/index.html |TreeLib ]]: a simple tree data structure for python 
  * [[https://bl.ocks.org/d3noob/8375092 | d3.js Tree demo]]: a collapsible tree example   


NLP Annotation Tools
  * [[https://prodi.gy/ | Prodigy]]: an annotation tool for various NLP tasks with active learning
  * [[https://github.com/deepwel/Chinese-Annotator | Chinese-Annotator]]: Chinese version of prodigy