class_docstr: This class is used to extract nouns, proper nouns, phrases from text, including descriptions and
  url links
class_docstr_tok: ["This","class","is","used","to","extract","nouns",",","proper","nouns",",","phrases","from","text",",","including","descriptions","and","url","links"]
docstr:  Extract chunk phrases from a sentence.
  :param sent: a sentence level text.
  :return: chunk phrases
docstr_tok: ["Extract","chunk","phrases","from","a","sentence",".",":","param","sent",":","a","sentence","level","text",".",":","return",":","chunk","phrases"]
code: def extract_chunks_sent(self, sent):
      """
       Extract chunk phrases from a sentence.
      :param sent: a sentence level text.
      :return: chunk phrases
      """
      tags = self._tagger(self._word_tokenize(sent))
      chunks = nltk.chunk.tree2conlltags(self._chunker.parse(tags))
      # join constituent chunk words into a single chunked phrase
      return [
          " ".join(word for (word, pos, chunk) in group)
          for key, group in itertools.groupby(
              chunks, lambda triple: triple[2] != "O"
          )
          if key
      ]
  
imports: from sematch.utility import FileIO
  from nltk.stem import WordNetLemmatizer
  from nltk.corpus import wordnet
  import nltk
  from collections import Counter
  import itertools
  import string
  import re
label_desc: Use image node_id 2 for calling the Extraction obj's underlying member method code with example usage: obj.extract_chunks_sent(sent) and returns: unknown