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sample=[] for i in range(0,len(with_annot_list)): samp=ner_training_instance(tok[i]) sample.append(samp)
for i in range(0,len(tok)): sample[i].add_entity(xrange(first[i],second[i]),"Clause")
Where tok is list of lokenized strings and first is the list of integers and second also.
The text was updated successfully, but these errors were encountered:
Solved this I have done a silly mistake i used regex on non tokenized strings
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sample=[]
for i in range(0,len(with_annot_list)):
samp=ner_training_instance(tok[i])
sample.append(samp)
for i in range(0,len(tok)):
sample[i].add_entity(xrange(first[i],second[i]),"Clause")
Where tok is list of lokenized strings and first is the list of integers and second also.
The text was updated successfully, but these errors were encountered: