docstr: Compressed or not single mention features
code: def get_pair_mentions_features_conll(self, m1, m2, compressed=True):
      """Compressed or not single mention features"""
      if not compressed:
          _, features = self.get_pair_mentions_features(m1, m2)
          return features[np.newaxis, :]
      features_, _ = self.get_pair_mentions_features(m1, m2)
      feat_l = [
          features_["00_SameSpeaker"],
          features_["01_AntMatchMentionSpeaker"],
          features_["02_MentionMatchSpeaker"],
          features_["03_HeadsAgree"],
          features_["04_ExactStringMatch"],
          features_["05_RelaxedStringMatch"],
          features_["06_SentenceDistance"],
          features_["07_MentionDistance"],
          features_["08_Overlapping"],
      ]
      return feat_l
  
imports: import re
  import argparse
  import time
  import os
  import io
  import pickle
  import spacy
  import numpy
  from tqdm import tqdm
  from neuralcoref.train.compat import unicode_
  from neuralcoref.train.document import Mention, Document, Speaker, EmbeddingExtractor, MISSING_WORD, extract_mentions_spans
  from neuralcoref.train.utils import parallel_process
label_desc: Use image node_id 5 for calling the ConllDoc obj's underlying member method code with example usage: obj.get_pair_mentions_features_conll(m1, m2, compressed) and returns: feat_l, features