class_docstr: A noun phrase extractor that uses chunk parsing trained with the
  ConLL-2000 training corpus.
class_docstr_tok: ["A","noun","phrase","extractor","that","uses","chunk","parsing","trained","with","the","ConLL-2000","training","corpus","."]
docstr: Tag and parse a sentence (a plain, untagged string).
docstr_tok: ["Tag","and","parse","a","sentence","(","a","plain",",","untagged","string",")","."]
code: def _parse_sentence(self, sentence):
      """Tag and parse a sentence (a plain, untagged string)."""
      tagged = self.POS_TAGGER.tag(sentence)
      return self.parser.parse(tagged)
  
imports: from __future__ import unicode_literals, absolute_import
  import nltk
  from textblob.taggers import PatternTagger
  from textblob.decorators import requires_nltk_corpus
  from textblob.utils import tree2str, filter_insignificant
  from textblob.base import BaseNPExtractor
label_desc: Use image node_id 3 for calling the ConllExtractor obj's underlying member method code with example usage: obj._parse_sentence(sentence) and returns: self