diff --git a/data/lists/wrongly_identified_speakers.txt b/data/lists/wrongly_identified_speakers.txt
index 3303c2891696b60eaaf254bfbee69fcba8567385..038c497e8e720ad68faf7fddd016e3452b70e468 100644
--- a/data/lists/wrongly_identified_speakers.txt
+++ b/data/lists/wrongly_identified_speakers.txt
@@ -76,11 +76,6 @@ list of people in a minority are recognized as speech starts:
 1936/20031990: many, e.g. Widmer (CANTON MISSING)  [5696, 5703] 1936-01-14 00:00 0 ['Walter', 'Olten', 'Widmer', 'Rossi']
 
 
-President not found:
--------------------
-1921/20029085: Müller (CANTON MISSING) Président [3663, 3695] 1921-01-19 00:00 9 ['Mlle', 'Président']
-
-
 misspelled role:
 ----------------
 1936/20031986: Meyer (CANTON MISSING)  [3482, 3483, 3488, 3490] 1936-01-09 00:00 14 ['Rundespräsident', 'Meyer']
@@ -88,7 +83,6 @@ misspelled role:
 1932/20031299: Häberlin (CANTON MISSING)  [2290, 2287] 1932-09-21 00:00 6 ['Bimdesrat', 'Häberlin']
 
 
-
 weird layout:
 -------------
 1971/20000663: de MM. Knüsel et Leu (there must be more speech starts, this is from a list of cantons and people inside a speech, !!! Layout)
diff --git a/src/python/utils_annot.py b/src/python/utils_annot.py
index 8f81d0723b7af07ac6bf647211768198e70d0f22..63622c1b8fa61780481695b0d57b4defb6a13f0f 100644
--- a/src/python/utils_annot.py
+++ b/src/python/utils_annot.py
@@ -900,6 +900,8 @@ def get_list_cantons(df_names, str_name, str_council = '', str_firstname = ''):
     str_Citizenship = 'Citizenship'
     str_FirstName = 'FirstName'
     str_additionalInfo = 'additionalInfo'
+    str_additionalInfo2 = 'additionalInfo2'
+    str_additionalInfo3 = 'additionalInfo3'
 
     # get dataframe
     df_temp = get_df_temp(df_names, str_name, str_council, str_firstname)
@@ -919,17 +921,20 @@ def get_list_cantons(df_names, str_name, str_council = '', str_firstname = ''):
 
     # list of additional information
     list_additionalInfo = list(df_temp[str_additionalInfo])
+    list_additionalInfo2 = list(df_temp[str_additionalInfo2])
+    list_additionalInfo3 = list(df_temp[str_additionalInfo3])
 
     # generate list of cantons including string
     # additionalinfo should be before citizenship (helps to find people which have same citizenship but a specified addtionalinfo)
     list_cantons = [(list_cantonname, str_CantonName),
                     (list_cantonabbr, str_CantonAbbreviation),
                     (list_additionalInfo, str_additionalInfo),
+                    (list_additionalInfo2, str_additionalInfo2),
+                    (list_additionalInfo3, str_additionalInfo3),
                     (list_citizenship, str_Citizenship),
                     (list_firstname, str_FirstName),
                     ]
 
-#    return list_cantonname, list_cantonabbr, list_citizenship, list_firstname, list_additionalInfo
     return list_cantons