我在试着恢复我的空间模型给一个实体分配正确标签的概率。我有空间版本3.0.5。

threshold = 0.5
        
for i in testing_raw:
    doc = nlp_updated(i)
    beams = nlp_updated.beam_parse([ doc ], beam_width = 16, beam_density = 0.0001)
    entity_scores = defaultdict(float)

    for beam in beams:
        for score, ents in nlp_updated.entity.moves.get_beam_parses(beam):
            for start, end, label in ents:
                entity_scores[(start, end, label)] += score

        for key in entity_scores:
            start, end, label = key
            score = entity_scores[key]
            if ( score > threshold):
                print ('Label: {}, Text: {}, Score: {}'.format(label, doc[start:end], score))

下面的代码行抛出此错误：

beams = nlp_updated.beam_parse([ doc ], beam_width = 16, beam_density = 0.0001)

AttributeError: 'English' object has no attribute 'beam_parse'

这是因为spaCy版本3没有考虑beam_parse吗？如果是这样，我怎么能在这个版本的spaCy中做到这一点，因为我似乎在文档中找不到任何东西？