tmp

tools/parser/parser.py

@@ -114,7 +114,7 @@ class Parser:
         return res_dict
 
 
-    def to_conll_2009_SRL(self, sentence_entry, napreds=9):
+    def to_conll_2009_SRL(self, sentence_entry):
 
         def fillpred(tsv_row):
             mrow = build_model_row(tsv_row)
@@ -122,8 +122,6 @@ class Parser:
             y = self.fillpred_model.predict([x])
             return y[0]  # bool
 
-        apreds_string = '\t'.join(["_" for x in range(napreds)])
-
         # works with kres, with parsed links
         out_str = ""
         for token in sentence_entry["tokens"]:
@@ -136,7 +134,7 @@ class Parser:
                     [t_id] +
                     [form for x in range(7)] + 
                     ["0", "0", "modra", "modra", "_", "_"] +
-                    [apreds_string, "\n"]
+                    ["\n"]
                 )
                 continue 
 
@@ -165,7 +163,6 @@ class Parser:
                     sentence_entry["links"][t_id][0],  # pdeprel
                     "_",  # fillpred
                     "_",  # pred
-                    apreds_string,
                     "\n",
             ]
             fprd = fillpred(row_list)