docstr: Compressed or not single mention features
code: def get_single_mention_features_conll(self, mention, compressed=True):
      """Compressed or not single mention features"""
      if not compressed:
          _, features = self.get_single_mention_features(mention)
          return features[np.newaxis, :]
      feat_l = [
          mention.features_["01_MentionType"],
          mention.features_["02_MentionLength"],
          mention.index,
          len(self.mentions),
          mention.features_["04_IsMentionNested"],
          self.genre_,
      ]
      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 4 for calling the ConllDoc obj's underlying member method code with example usage: obj.get_single_mention_features_conll(mention, compressed) and returns: feat_l, features