TypeError: 'Document' object is not iterable

[Daljeetka]

Hi,

I am facing the below issue while annotating.

[main] INFO CoreNLP - --- StanfordCoreNLPServer#main() called ---
[main] INFO CoreNLP - Server default properties:
(Note: unspecified annotator properties are English defaults)
inputFormat = text
outputFormat = serialized
prettyPrint = false
threads = 5
[main] INFO CoreNLP - Threads: 5
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: StanfordCoreNLP.properties ... found.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[main] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words-distsim.tagger ... done [1.5 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [2.2 sec].
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [0.8 sec].
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [0.7 sec].
[main] 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.
[main] INFO edu.stanford.nlp.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
[main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580705 unique entries out of 581864 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns.
[main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4867 unique entries out of 4867 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns.
[main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585572 unique entries from 2 files
[main] INFO edu.stanford.nlp.pipeline.NERCombinerAnnotator - numeric classifiers: true; SUTime: true [no docDate]; fine grained: true
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse
[main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... Time elapsed: 1.6 sec
[main] INFO edu.stanford.nlp.parser.nndep.Classifier - PreComputed 20000 vectors, elapsed Time: 1.566 sec
[main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Initializing dependency parser ... done [3.1 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator coref
[main] INFO edu.stanford.nlp.coref.statistical.SimpleLinearClassifier - Loading coref model edu/stanford/nlp/models/coref/statistical/ranking_model.ser.gz ... done [1.0 sec].
[main] INFO edu.stanford.nlp.pipeline.CorefMentionAnnotator - Using mention detector type: dependency
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator kbp
[main] INFO edu.stanford.nlp.pipeline.KBPAnnotator - Loading KBP classifier from: edu/stanford/nlp/models/kbp/english/tac-re-lr.ser.gz
[main] INFO CoreNLP - Starting server...
[main] INFO CoreNLP - StanfordCoreNLPServer listening at /0.0.0.0:9001
[pool-1-thread-3] INFO CoreNLP - [/127.0.0.1:42620] API call w/annotators
what devicetype has id 10
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: StanfordCoreNLP.properties ... found.
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator coref
[pool-1-thread-3] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator kbp
Traceback (most recent call last):
File "annotate_ws.py", line 195, in
a = annotate_example_ws(d, tables[d['table_id']])
File "annotate_ws.py", line 112, in annotate_example_ws
_nlu_ann = annotate(example['question'])
File "annotate_ws.py", line 29, in annotate
for s in client.annotate(sentence):
TypeError: 'Document' object is not iterable
[Thread-0] INFO CoreNLP - CoreNLP Server is shutting down.
0% 0/1 [00:39<?, ?it/s]

Please share if there is any solution to this issue.

Thanks and Regards