code: def score(
      self,
      hypothesis: List[str],
      references: List[List[str]],
      tags: Optional[List[List[str]]] = None,
  ) -> VizSeqScore:
      return self._score_multiprocess_averaged(
          hypothesis, references, tags, sent_score_func=_get_sent_meteor
      )
  
file_path: vizseq/vizseq/scorers/meteor.py
imports: from typing import List, Optional, Dict
  from nltk.translate.meteor_score import meteor_score
  import nltk
  from vizseq.scorers import register_scorer, VizSeqScorer, VizSeqScore
label_desc: Use image node_id 1 for calling the METEORScorer obj's underlying member method code with example usage: obj.score(hypothesis, references, tags) and returns: self