Upload ml_ner.py

src/ml_ner.py

@@ -87,7 +87,7 @@ def build_ngram_testset_filted(conll_input,Ngram=8):
         fout_context_list=[]
         temp_entity=[]
         temp_pos=[]
-        for ngram in range(2,Ngram+1):
+        for ngram in range(1,Ngram+1): #range(2,Ngram+1)
             if ngram==1:
                 for j in range(0, len(lines)):                 
                     sid=0
@@ -377,7 +377,7 @@ def score_filter(temp_entity,  T=0.1):
 
     result_list=[]
     for i in range(0,len(temp_entity)):
-        if float (temp_entity[i][-1])>=T:
+        if float (temp_entity[i][-1])>T:
             result_list.append(temp_entity[i])
     return(result_list)
 def find_max_entity_nest(nest_list):