diff --git a/robotoff/utils/text.py b/robotoff/utils/text.py
index b01ecaa756..f14b3f7683 100644
--- a/robotoff/utils/text.py
+++ b/robotoff/utils/text.py
@@ -54,11 +54,23 @@ def get_lemmatizing_nlp(lang: str) -> spacy.Language:
 
 
 def get_tag(text: str) -> str:
+    """Return a tag from a text.
+
+    In Open Food Facts, tags are obtained from free text by performing the
+    following:
+    - lowercasing
+    - accent removal
+    - replacement of punctuation by either a comma ("-") or nothing, depending
+    on the punctuation
+    """
     text = strip_accents_ascii_v2(text)
-    return (
+    text = (
         text.lower()
         .replace(" & ", "-")
         .replace(" ", "-")
         .replace("'", "-")
         .replace(".", "-")
+        .replace("!", "")
+        .replace("?", "")
     )
+    return strip_consecutive_spaces(text).strip("-")
diff --git a/tests/unit/utils/test_text.py b/tests/unit/utils/test_text.py
index 95a0108f11..ff4967c72e 100644
--- a/tests/unit/utils/test_text.py
+++ b/tests/unit/utils/test_text.py
@@ -14,6 +14,7 @@
         ("monop'daily", "monop-daily"),
         ("épi d'or", "epi-d-or"),
         ("Health Star Rating 0.5", "health-star-rating-0-5"),
+        ("C'est qui le Patron ?!", "c-est-qui-le-patron"),
     ],
 )
 def test_get_tag(value: str, output: str):