class_docstr: Named entity extractor.
class_docstr_tok: ["Named","entity","extractor","."]
docstr: Args:
    lang: language code to decide which chunker to use.
docstr_tok: ["Args",":","lang",":","language","code","to","decide","which","chunker","to","use","."]
code: def __init__(self, lang="en"):
      """
      Args:
        lang: language code to decide which chunker to use.
      """
      super(NEChunker, self).__init__(lang=lang)
      self.ID_TAG = NER_ID_TAG
  
imports: import numpy
  from six.moves import range
  from ..decorators import memoize
  from ..load import load_embeddings, load_ner_model, load_pos_model, load_unified_pos_model
label_desc: Use image node_id 1 to create a new NEChunker object from inherited base classes: TaggerBase with example: obj = NEChunker(lang)