diff --git a/config.yaml b/config.yaml
index b609897c..72142b91 100644
--- a/config.yaml
+++ b/config.yaml
@@ -26,7 +26,7 @@ TIME_SEGMENTS: &time_segments
   INCLUDE_PAST_PERIODIC_SEGMENTS: TRUE # Only relevant if TYPE=PERIODIC, see docs
   TAILORED_EVENTS: # Only relevant if TYPE=EVENT
     COMPUTE: True
-    PARAMETER_ONE: "something"
+    TARGETS_METHOD: "none"
 
 # See https://www.rapids.science/latest/setup/configuration/#timezone-of-your-study
 TIMEZONE: 
diff --git a/src/features/phone_esm/straw/process_user_event_related_segments.py b/src/features/phone_esm/straw/process_user_event_related_segments.py
index 13737b9c..7418ce12 100644
--- a/src/features/phone_esm/straw/process_user_event_related_segments.py
+++ b/src/features/phone_esm/straw/process_user_event_related_segments.py
@@ -28,17 +28,13 @@ def extract_ers_from_file(esm_df, device_id):
     pd.set_option("display.max_rows", None)
     pd.set_option("display.max_columns", None)
 
-    # extracted_ers = pd.DataFrame(columns=["label", "event_timestamp", "length", "shift", "shift_direction", "device_id"])
+    with open('config.yaml', 'r') as stream:
+        config = yaml.load(stream, Loader=yaml.FullLoader)
+
+    targets_method = config["TIME_SEGMENTS"]["TAILORED_EVENTS"]["TARGETS_METHOD"]
 
-    # esm_df = clean_up_esm(preprocess_esm(esm_df))
     esm_preprocessed = clean_up_esm(preprocess_esm(esm_df))
 
-
-    # Take only during work sessions
-    # during_work = esm_df[esm_df["esm_trigger"].str.contains("during_work", na=False)]
-    # esm_trigger_group = esm_df.groupby("esm_session").agg(pd.Series.mode)['esm_trigger'] # Get most frequent esm_trigger within particular session  
-    # esm_filtered_sessions = list(esm_trigger_group[esm_trigger_group == 'during_work'].index) # Take only sessions that contains during work  
-
     # Take only ema_completed sessions responses
     classified = classify_sessions_by_completion_time(esm_preprocessed)
     esm_filtered_sessions = classified[classified["session_response"] == 'ema_completed'].reset_index()['esm_session']