title: Spacy 3 Confidence Score on Named-Entity recognition
body: <p>I need to get a confidence score for the tags predicted by NER 'de_core_news_lg' model. There was a well known solution to the problem in the Spacy 2:</p>
  <pre><code>nlp = spacy.load('de_core_news_lg')
  doc = nlp('ich möchte mit frau Mustermann in der Musterbank sprechen')
  text = content
  doc = nlp.make_doc(text)
  beams = nlp.entity.beam_parse([doc], beam_width=16, beam_density=0.0001)
  for score, ents in nlp.entity.moves.get_beam_parses(beams[0]):
      print (score, ents)
      entity_scores = defaultdict(float)
      for start, end, label in ents:
          # print (&quot;here&quot;)
          entity_scores[(start, end, label)] += score
          print ('entity_scores', entity_scores)
  </code></pre>
  <p>However, in Spacy 3 I get the following error:</p>
  <pre><code>AttributeError: 'German' object has no attribute 'entity'
  </code></pre>
  <p>Obviously <code>language</code> object does not have <code>entity</code> attribute anymore.
  Does anyone know how to get the confidence scores in Spacy 3?</p>