我需要使用 python 中的 spacy 将任何句子转换为问题。
我下面的代码太长了，我需要做更多的工作才能将任何句子完成为问题格式。现在，在这段代码中，我通过检查过去时和现在时来创建基于be 形式、需要形式、有形式、执行形式的条件。
输入：尼娜拉小提琴。
输出：尼娜拉小提琴吗？
输入：芭芭拉给了我巧克力。
输出：谁给你巧克力？
输入：他明天要见乔。
输出：他明天要见谁？
输入：她来自马德里。
输出：她从哪里来？
任何人都可以帮助我！想要为所有类型的句子提出问题吗？
from textacy.spacier import utils
import spacy
nlp = spacy.load("en_core_web_sm")
inp = input()
doc = nlp(inp)
string,label = [],""
for sentence in doc.sents:
root = sentence.root
for i in sentence.ents:
if len(utils.get_subjects_of_verb(root)) or len(utils.get_objects_of_verb(root)) > 0:
label = i.label_
print(root.tag_)
print(root.lemma_)
print(label)
if len(utils.get_subjects_of_verb(root)) > 0:
if root.lemma_ == 'be':
if label == "PERSON" :
ques = 'Who ' + str(root)+" "+ str(utils.get_subjects_of_verb(root)[0]) +' ?'
elif label == "QUANTITY":
ques = 'How ' + str(root)+" "+ str(utils.get_subjects_of_verb(root)[0]) +' ?'
elif label == "MONEY":
ques = 'How much ' + str(root) + " " + str(utils.get_subjects_of_verb(root)[0]) + ' ?'
elif label == "TIME":
ques = 'When ' + str(root)+" "+ str(utils.get_subjects_of_verb(root)[0]) +' ?'
elif label == "GPE":
ques = 'Where ' + str(root)+" "+ str(utils.get_subjects_of_verb(root)[0]) +' ?'
elif label == 'PRODUCT':
ques = 'What ' + str(root)+" "+ str(utils.get_subjects_of_verb(root)[0]) +' ?'
string.append(ques)
print(string)
或者以另一种方式
适用于这些类型的格式：
这是给约翰的 - 这是给谁的？
他正在看电影——他在看什么？
山姆将于周五回来 - 山姆什么时候回来？
他们走得很快——他们走得怎么样？
她离开是因为太晚了——她为什么离开？
from textacy.spacier import utils
from textacy.spacier import utils as spacy_utils
import spacy
import re
nlp = spacy.load("en_core_web_sm")
-inp = input()
-doc = nlp(inp)
-stop,modal_root,form_root,root = "","","",""
-
-
-for sentence in doc:
- if sentence.dep_ in ['aux','ROOT']:
- if sentence.lemma_ in ['must', 'shall', 'will', 'should', 'would', 'can', 'could', 'may','might']:
- modal_root = sentence
- elif sentence.lemma_ in ['be','have']:
- form_root = sentence
- else:
- root = sentence
- for children in sentence.subtree:
- if children.text in ['because', 'so because']:
- check = children
- if children.dep_ in ['dobj','pobj','advmod','acomp']:
- child = children
- for prep in child.subtree:
- if prep.is_stop:
- stop = prep
- if child.ent_type_:
- label = child.ent_type_
- elif child.pos_ == "ADV":
- label = "QUANTITY"
- else:
- label = ""
-
-if modal_root and form_root:
- root = modal_root
-elif modal_root:
- root = modal_root
-elif form_root:
- root = form_root
-
-
-for lemma in doc:
- if lemma.text in ['we','I']:
- lem = lemma.text
- else:
- lem = ""
-
-if stop:
- sent = doc.text.replace(str(child),"")
- sent = sent.replace(" "+str(stop)+" ", "")
-else:
- sent = doc.text.replace(str(child), "")
-
-if lem: sent = sent.replace(lem, "you")
-
-if root.lemma_ in ['be','have','must', 'shall', 'will', 'should', 'would', 'can', 'could', 'may', 'might']:
- if label == 'PERSON':
- ques = 'who '+str(root) + " " + re.sub('{}'.format(" "+str(root)+" ").lower(), ' ', sent)+'?'
- elif label in ['GPE','LOC']:
- ques = 'where '+str(root) + " " + re.sub('{}'.format(" "+str(root)+" ").lower(), ' ', sent)+'?'
- elif label in ['TIME','DATE']:
- ques = 'when ' + str(root) + " " + re.sub('{}'.format(" "+str(root)+" ").lower(), ' ', sent)+'?'
- elif label in ['QUANTITY']:
- ques = 'How ' + str(root) + " " + re.sub('{}'.format(" "+str(root)+" ").lower(), ' ', sent)+'?'
- else:
- ques = 'what ' + str(root) + " " + re.sub('{}'.format(" " + str(root) + " ").lower(), ' ', sent) + '?'
-else:
- if root.tag_ == 'VBD' or str(utils.get_subjects_of_verb(root)[0]).upper() in ['I', 'You', 'We', 'They', 'He', 'She','It']:
- if check.text in ['because','so because']:
- ques = 'Why did ' + str(utils.get_subjects_of_verb(root)[0]) + " " + root.lemma_ + '?'
- else:
- ques = 'Did ' + str(utils.get_subjects_of_verb(root)[0]) + " " + root.lemma_ + '?'
- elif str(utils.get_subjects_of_verb(root)[0]).upper() in ['I', 'You', 'We', 'They']:
- ques = 'Do ' + str(utils.get_subjects_of_verb(root)[0]) + " " + root.lemma_ + '?'
- elif str(utils.get_subjects_of_verb(root)[0]).upper() in ['He', 'She', 'It'] or label == "PERSON":
- ques = 'Does ' + str(utils.get_subjects_of_verb(root)[0]) + " " + root.lemma_ + '?'
-
-print(ques)
-
-
如何使用Python中的SPACY库实现句子转疑问句？