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Spacy Matcher Pattern length (10) >= phrase_matcher.max_length (10)

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0

I am trying to pass through spacy matcher MedDra PT's. When I am adding to the matcher label and pattern I am getting following: ValueError: [T002] Pattern length (10) >= phrase_matcher.max_length (10). Even though I am using conditional if to take max of pattern of 5 strings. I have also tried to change max_length of phrase matcher. Could someone help or any over ideas how to map labels in PT's. I am using spacy-2.0.18 version.

nlp = spacy.load('en_core_web_sm')

if 'ner' not in nlp.pipe_names:
 ner = nlp.create_pipe('ner')
 nlp.add_pip(ner)
else:
 ner = nlp.get_pipe('ner')

label = 'PT'

ner.add_label(label)
matcher = PhraseMatcher(nlp.vocab)

for i in MEDDRA.all_concepts():
 if(i.meddra_type == 'PT'):
 if(len(i.term.split())<5): 
 matcher.add(label, None, nlp(i.term)) 

python compiler-errors spacy matcher ner

share|improve this question

asked Mar 7 at 20:21

dimasdimas

12

add a comment | 

0

I am trying to pass through spacy matcher MedDra PT's. When I am adding to the matcher label and pattern I am getting following: ValueError: [T002] Pattern length (10) >= phrase_matcher.max_length (10). Even though I am using conditional if to take max of pattern of 5 strings. I have also tried to change max_length of phrase matcher. Could someone help or any over ideas how to map labels in PT's. I am using spacy-2.0.18 version.

nlp = spacy.load('en_core_web_sm')

if 'ner' not in nlp.pipe_names:
 ner = nlp.create_pipe('ner')
 nlp.add_pip(ner)
else:
 ner = nlp.get_pipe('ner')

label = 'PT'

ner.add_label(label)
matcher = PhraseMatcher(nlp.vocab)

for i in MEDDRA.all_concepts():
 if(i.meddra_type == 'PT'):
 if(len(i.term.split())<5): 
 matcher.add(label, None, nlp(i.term)) 

python compiler-errors spacy matcher ner

share|improve this question

asked Mar 7 at 20:21

dimasdimas

12

add a comment | 

I am trying to pass through spacy matcher MedDra PT's. When I am adding to the matcher label and pattern I am getting following: ValueError: [T002] Pattern length (10) >= phrase_matcher.max_length (10). Even though I am using conditional if to take max of pattern of 5 strings. I have also tried to change max_length of phrase matcher. Could someone help or any over ideas how to map labels in PT's. I am using spacy-2.0.18 version.

nlp = spacy.load('en_core_web_sm')

if 'ner' not in nlp.pipe_names:
 ner = nlp.create_pipe('ner')
 nlp.add_pip(ner)
else:
 ner = nlp.get_pipe('ner')

label = 'PT'

ner.add_label(label)
matcher = PhraseMatcher(nlp.vocab)

for i in MEDDRA.all_concepts():
 if(i.meddra_type == 'PT'):
 if(len(i.term.split())<5): 
 matcher.add(label, None, nlp(i.term)) 

python compiler-errors spacy matcher ner

share|improve this question

asked Mar 7 at 20:21

dimasdimas

12

nlp = spacy.load('en_core_web_sm')

if 'ner' not in nlp.pipe_names:
 ner = nlp.create_pipe('ner')
 nlp.add_pip(ner)
else:
 ner = nlp.get_pipe('ner')

label = 'PT'

ner.add_label(label)
matcher = PhraseMatcher(nlp.vocab)

for i in MEDDRA.all_concepts():
 if(i.meddra_type == 'PT'):
 if(len(i.term.split())<5): 
 matcher.add(label, None, nlp(i.term)) 

share|improve this question

asked Mar 7 at 20:21

dimasdimas

12

share|improve this question

asked Mar 7 at 20:21

dimasdimas

12

asked Mar 7 at 20:21

dimasdimas

12

asked Mar 7 at 20:21

dimasdimas

12