diff --git a/interest/utils.py b/interest/utils.py
index 4f9a12e..c601162 100644
--- a/interest/utils.py
+++ b/interest/utils.py
@@ -156,3 +156,19 @@ def save_filtered_articles(input_file: Any, article_id: str,
     print('output_fp', output_fp)
     with open(output_fp, "w", encoding=ENCODING) as json_file:
         json.dump(data, json_file, indent=4)
+
+
+def get_file_name_without_extension(full_path: str) -> str:
+    """
+    Extracts the file name without extension from a full path.
+
+    Args:
+        full_path (str): The full path of the file.
+
+    Returns:
+        str: The file name without extension.
+
+    """
+    base_name = os.path.basename(full_path)
+    file_name_without_ext = os.path.splitext(base_name)[0]
+    return file_name_without_ext
diff --git a/scripts/step4_generate_output.py b/scripts/step4_generate_output.py
index b71c94c..ad89f61 100644
--- a/scripts/step4_generate_output.py
+++ b/scripts/step4_generate_output.py
@@ -9,14 +9,14 @@
 from pandas import DataFrame
 from interest.settings import SPACY_MODEL
 from interest.article_final_selection.process_article import ArticleProcessor
-from interest.utils import read_config
+from interest.utils import read_config, get_file_name_without_extension
 from interest.output_generator.text_formater import (TextFormatter,
                                                      SEGMENTED_TEXT_FORMATTER)
 
 
 FILE_PATH_FIELD = "file_path"
-ARTICLE_ID_FIELD = "article_id"
 TITLE_FIELD = "title"
+ARTICLE_ID_FIELD = "article_id"
 BODY_FIELD = "body"
 LABEL_FIELD = "label"
 SELECTED_FIELD = "selected"
@@ -130,14 +130,11 @@ def find_articles_in_file(filepath: str, formatter: TextFormatter) -> (
         SENTENCES_PER_SEGMENT = str(read_config(args.config_path,
                                                 SENTENCE_PER_SEGMENT_KEY))
 
-    result_df = pd.DataFrame(columns=[FILE_PATH_FIELD, ARTICLE_ID_FIELD,
-                                      TITLE_FIELD, BODY_FIELD, LABEL_FIELD])
-
     text_formatter = TextFormatter(str(output_unit),
                                    int(SENTENCES_PER_SEGMENT),
                                    spacy_model=SPACY_MODEL)
     for articles_filepath in args.input_dir.rglob(args.glob):
         df = find_articles_in_file(articles_filepath, text_formatter)
-        result_df = pd.concat([result_df, df], ignore_index=True)
+        file_name = get_file_name_without_extension(articles_filepath)
+        df.to_csv(os.path.join(args.output_dir, 'articles_to_label_'+file_name+'.csv'), index = False)
 
-    result_df.to_csv(os.path.join(args.output_dir, 'articles_to_label.csv'))