code: def is_semantic(s_name, m_name):
      if (
          s_name in EMB_MODEL_SCORES
          and m_name != "inference"
          and m_name != "language"
      ):
          return True
      return False
  
imports: import csv
  from glob import glob
  import json
  import os
  import pathlib
  import numpy
  import pandas
  from parlai.core.params import ParlaiParser
  from projects.roscoe.meta_evaluation.correlations import Analyzer
  from projects.roscoe.score import EMB_MODEL_SCORES, EMBEDDING_MODEL_NAMES, GRAMMAR_MODEL_SCORES, LANGUAGE_MODEL_SCORES, NLI_MODEL_SCORES, REASONING_SCORES, SCORE_GROUPS, SUPERVISED_SCORES, UNSUPERVISED_SCORES
  from typing import Callable, List
label_desc: Use image node_id 9 for calling a global function with example usage: is_semantic(s_name, m_name) and returns: False, True