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我真的不明白。我正在使用WordNet,並遇到麻煩。我把下面的方法用繩子這樣的:Python - WordNet NLTK KeyError
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def lemmatise(word, pos=NOUN):
return WordNetLemmatizer().lemmatize(word, pos)
這一個調用下一個方法:
def lemmatize(self, word, pos=NOUN):
lemmas = wordnet._morphy(word, pos)
return min(lemmas, key=len) if lemmas else word
而方法morphy()是錯誤表示問題來自的地方(請參閱錯誤消息)。
def _morphy(self, form, pos):
# from jordanbg:
# Given an original string x
# 1. Apply rules once to the input to get y1, y2, y3, etc.
# 2. Return all that are in the database
# 3. If there are no matches, keep applying rules until you either
# find a match or you can't go any further
L1687 exceptions = self._exception_map[pos]
substitutions = self.MORPHOLOGICAL_SUBSTITUTIONS[pos]
錯誤消息
[18/Nov/2016 15:02:57] "GET/HTTP/1.1" 200 4364
[18/Nov/2016 15:02:57] "GET /static/website/js/animation.js HTTP/1.1" 200 180
[18/Nov/2016 15:02:57] "GET /static/website/css/animation.css HTTP/1.1" 200 1069
[18/Nov/2016 15:02:57] "GET /static/website/img/mamegra_pro_thumbnail.png HTTP/1.1" 200 3588
[18/Nov/2016 15:02:57] "GET /static/website/css/bootstrap.min.css HTTP/1.1" 200 121260
[18/Nov/2016 15:02:59] "GET /syntactic_matching_final/ HTTP/1.1" 200 5571
[18/Nov/2016 15:03:02] "GET /semantic_matching_final/ HTTP/1.1" 200 5571
Internal Server Error: /semantic_matching_final/
Traceback (most recent call last):
File "C:\Users\Bebop\AppData\Local\Programs\Python\Python35\lib\site-packages\django\core\handlers\exception.py", line 39, in inner
response = get_response(request)
File "C:\Users\Bebop\AppData\Local\Programs\Python\Python35\lib\site-packages\django\core\handlers\base.py", line 249, in _legacy_get_response
response = self._get_response(request)
File "C:\Users\Bebop\AppData\Local\Programs\Python\Python35\lib\site-packages\django\core\handlers\base.py", line 187, in _get_response
response = self.process_exception_by_middleware(e, request)
File "C:\Users\Bebop\AppData\Local\Programs\Python\Python35\lib\site-packages\django\core\handlers\base.py", line 185, in _get_response
response = wrapped_callback(request, *callback_args, **callback_kwargs)
File "C:\Users\Bebop\OneDrive\Masterarbeit\MamegraPro\MamegraProApp\views.py", line 418, in semantic_matching_final
matches = matching.match_optimization('semantic_final', enable_infocontent) #perform syntactic matching and save matches in variable
File "C:\Users\Bebop\OneDrive\Masterarbeit\MamegraPro\MamegraProApp\classes\class_matching.py", line 55, in match_optimization
scores = {(n1, n2): self.semantic_score_final(n1.name, n2.name, enable_infocontent) if self.semantic_score_final(n1.name, n2.name, enable_infocontent) >= self.minimum_ratio else 0 for n1 in nodes1 for n2 in nodes2}
File "C:\Users\Bebop\OneDrive\Masterarbeit\MamegraPro\MamegraProApp\classes\class_matching.py", line 55, in <dictcomp>
scores = {(n1, n2): self.semantic_score_final(n1.name, n2.name, enable_infocontent) if self.semantic_score_final(n1.name, n2.name, enable_infocontent) >= self.minimum_ratio else 0 for n1 in nodes1 for n2 in nodes2}
File "C:\Users\Bebop\OneDrive\Masterarbeit\MamegraPro\MamegraProApp\classes\class_matching.py", line 557, in semantic_score_final
lemmas = self.corpusBase.lemmatise(w1)
File "C:\Users\Bebop\OneDrive\Masterarbeit\MamegraPro\MamegraProApp\classes\class_wordnetWrapper.py", line 8, in lemmatise
return WordNetLemmatizer().lemmatize(word, pos)
File "C:\Users\Bebop\AppData\Local\Programs\Python\Python35\lib\site-packages\nltk\stem\wordnet.py", line 40, in lemmatize
lemmas = wordnet._morphy(word, pos)
File "C:\Users\Bebop\AppData\Local\Programs\Python\Python35\lib\site-packages\nltk\corpus\reader\wordnet.py", line 1687, in _morphy
exceptions = self._exception_map[pos]
KeyError: 'Created'
[18/Nov/2016 15:03:11] "POST /semantic_matching_final/ HTTP/1.1" 500 122256
Not Found: /favicon.ico
[18/Nov/2016 15:03:12] "GET /favicon.ico HTTP/1.1" 404 4238
奇怪的是,它隨機地切換它引發錯誤即使是相同的輸入字。請幫幫我!
它並沒有幫助我解決這個問題,但我找出了什麼是因爲你的幫助的主要問題。謝謝! – Bebop