class_docstr: SentenceSplitter which assumes that there is a tag within the text that is used to mark sentence boundaries.
  
  Implementation of :class:`SentenceSplitter` which assumes that there is a special tag within
  the text that is used to mark sentence boundaries.
class_docstr_tok: ["SentenceSplitter","which","assumes","that","there","is","a","tag","within","the","text","that","is","used","to","mark","sentence","boundaries",".","Implementation","of",":","class",":","`","SentenceSplitter","`","which","assumes","that","there","is","a","special","tag","within","the","text","that","is","used","to","mark","sentence","boundaries","."]
code: def name(self) -> str:
      return (
          self.__class__.__name__
          + "_"
          + self.tag
          + "_"
          + self._tokenizer.name
      )
  
imports: from abc import ABC, abstractmethod
  from typing import Any, List, Optional, Union
  from segtok.segmenter import split_multi
  from flair.data import Sentence
  from flair.tokenization import SciSpacyTokenizer, SegtokTokenizer, SpacyTokenizer, Tokenizer
label_desc: Use image node_id 5 for calling the TagSentenceSplitter obj's underlying member method code with example usage: obj.name() and returns: unknown