Open xrq682 opened 1 year ago
INFO edu.stanford.nlp.time.JollyDayHolidays - Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.
edu.stanford.nlp.util.ReflectionLoading$ReflectionLoadingException: Error creating edu.stanford.nlp.time.TimeExpressionExtractorImpl
at edu.stanford.nlp.util.ReflectionLoading.loadByReflection(ReflectionLoading.java:40)
at edu.stanford.nlp.time.TimeExpressionExtractorFactory.create(TimeExpressionExtractorFactory.java:57)
at edu.stanford.nlp.time.TimeExpressionExtractorFactory.createExtractor(TimeExpressionExtractorFactory.java:38)
at edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.
The problem has been solved,the Stanfordcorenlp version is not compatible with java9 or higher, just drop the java version to 8 or below
Describe the bug
Following installation, recieved the following while executing the parse_single_from_code.py.
No extractors passed: initializing default configuration. No combinedScorers passed: initializing default configuration.
Traceback (most recent call last): File "D:\anaconda\lib\site-packages\stanza\server\client.py", line 466, in _request r.raise_for_status() File "D:\anaconda\lib\site-packages\requests\models.py", line 943, in raise_for_status raise HTTPError(http_error_msg, response=self) HTTPError: 500 Server Error: Internal Server Error for url: http://localhost:9000/?properties=%7B%27outputFormat%27%3A+%27json%27%2C+%27timeout%27%3A+500000%2C+%27annotators%27%3A+%27tokenize%2Cssplit%2Cpos%2Clemma%2Cparse%2Cner%2Cdepparse%2Cmention%2Ccoref%27%2C+%27tokenize.language%27%3A+%27English%27%2C+%27date%27%3A+%272016-11-10+07%3A44%3A00%27%7D&resetDefault=false During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\anaconda\Lib\site-packages\Giveme5W1H\examples\extracting\parse_single_from_code.py", line 80, in
doc = extractor.parse(doc)
File "D:\anaconda\lib\site-packages\Giveme5W1H\extractor\extractor.py", line 104, in parse
self.preprocess(doc)
File "D:\anaconda\lib\site-packages\Giveme5W1H\extractor\extractor.py", line 87, in preprocess
self.preprocessor.preprocess(doc)
File "D:\anaconda\lib\site-packages\Giveme5W1H\extractor\preprocessors\preprocessor_core_nlp.py", line 111, in preprocess
annotation = self.cnlp.annotate(text=document.get_full_text(),
File "D:\anaconda\lib\site-packages\stanza\server\client.py", line 533, in annotate
r = self._request(text.encode('utf-8'), request_properties, reset_default, **kwargs)
File "D:\anaconda\lib\site-packages\stanza\server\client.py", line 471, in _request
raise AnnotationException(e)
AnnotationException: 500 Server Error: Internal Server Error for url: http://localhost:9000/?properties=%7B%27outputFormat%27%3A+%27json%27%2C+%27timeout%27%3A+500000%2C+%27annotators%27%3A+%27tokenize%2Cssplit%2Cpos%2Clemma%2Cparse%2Cner%2Cdepparse%2Cmention%2Ccoref%27%2C+%27tokenize.language%27%3A+%27English%27%2C+%27date%27%3A+%272016-11-10+07%3A44%3A00%27%7D&resetDefault=false
To Reproduce after connected to the server, run parse_single_from_code.py(or other example codes)
Expected behavior all possible answers of the 5w1h in the example text should be printed
Log No extractors passed: initializing default configuration. No combinedScorers passed: initializing default configuration.
This issue is similar to #69,but I have the error:”HTTPError: 500 Server Error: Internal Server Error for url:http://localhost:9000/?properties=%7B%27outputFormat%27%3A+%27json%27%2C+%27timeout%27%3A+500000%2C+%27annotators%27%3A+%27tokenize%2Cssplit%2Cpos%2Clemma%2Cparse%2Cner%2Cdepparse%2Cmention%2Ccoref%27%2C+%27tokenize.language%27%3A+%27English%27%2C+%27date%27%3A+%272016-11-10+07%3A44%3A00%27%7D&resetDefault=false”
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