使用Spacy从依赖关系树中提取化合物和dobj

import spacy

nlp = spacy.load("en_core_web_sm")

text = "Spacy is a powerful natural language processing library."
doc = nlp(text)

compounds = []
dobjs = []

for sent in doc.sents:
    for token in sent:
        if token.dep_ == "compound":
            compounds.append(token.text)
        elif token.dep_ == "dobj":
            dobjs.append(token.text)

print("提取到的化合物：", compounds)
print("提取到的dobj：", dobjs)