docstr: 从文本中去除重音符号
  Arg :
      text (String) : 所需拆分文本
  Return :
      "".join(output) (String) : 去除后的文本
docstr_tok: ["\u4ece\u6587\u672c\u4e2d\u53bb\u9664\u91cd\u97f3\u7b26\u53f7","Arg",":","text","(","String",")",":","\u6240\u9700\u62c6\u5206\u6587\u672c","Return",":","``","''",".join","(","output",")","(","String",")",":","\u53bb\u9664\u540e\u7684\u6587\u672c"]
code: def _run_strip_accents(self, text):
      """
      从文本中去除重音符号
      Arg :
          text (String) : 所需拆分文本
      Return :
          "".join(output) (String) : 去除后的文本
  
      """
      text = unicodedata.normalize("NFD", text)
      output = []
      for char in text:
          cat = unicodedata.category(char)
          if cat == "Mn":
              continue
          output.append(char)
      return "".join(output)
  
file_path: DeepKE/src/deepke/relation_extraction/standard/tools/serializer.py
imports: import re
  import unicodedata
  import jieba
  import logging
  from typing import List
label_desc: Use image node_id 8 for calling the Serializer obj's underlying member method code with example usage: obj._run_strip_accents(text) and returns: str