keyword_tokens.py

def extract_keywords(text):
    """
    Extract keywords and construct them back from tokens
    """
    result = list()
    keyword = ""
    for token in nlp(text):
        if token['entity'] == 'I-KEY':
            keyword += token['word'][2:] if \
              token['word'].startswith("##") else f" {token['word']}"
        else:
            if keyword:
                result.append(keyword)
            keyword = token['word']
    # Add the last keyword
    result.append(keyword)
    return list(set(result))
    
extract_keywords("""
Broadcom agreed to acquire cloud computing company VMware in a $61 billion (€57bn) cash-and stock deal.
""") # ['cloud computing', 'vmware', 'broadcom']