diff --git a/spacy/pipeline/entityruler.py b/spacy/pipeline/entityruler.py
index 9f62f9875..761ff12bf 100644
--- a/spacy/pipeline/entityruler.py
+++ b/spacy/pipeline/entityruler.py
@@ -3,6 +3,7 @@ from typing import Optional, Union, List, Dict, Tuple, Iterable, Any, Callable,
 from collections import defaultdict
 from pathlib import Path
 import srsly
+import warnings
 
 from .pipe import Pipe
 from ..training import Example
@@ -141,7 +142,9 @@ class EntityRuler(Pipe):
 
     def match(self, doc: Doc):
         self._require_patterns()
-        matches = list(self.matcher(doc)) + list(self.phrase_matcher(doc))
+        with warnings.catch_warnings():
+            warnings.filterwarnings("ignore", message="\\[W036")
+            matches = list(self.matcher(doc)) + list(self.phrase_matcher(doc))
         matches = set(
             [(m_id, start, end) for m_id, start, end in matches if start != end]
         )
@@ -276,7 +279,7 @@ class EntityRuler(Pipe):
                     current_index = i
                     break
             subsequent_pipes = [
-                pipe for pipe in self.nlp.pipe_names[current_index + 1 :]
+                pipe for pipe in self.nlp.pipe_names[current_index :]
             ]
         except ValueError:
             subsequent_pipes = []
@@ -334,11 +337,6 @@ class EntityRuler(Pipe):
         if len(self) == 0:
             warnings.warn(Warnings.W036.format(name=self.name))
 
-    def _require_patterns(self) -> None:
-        """Raise a warning if this component has no patterns defined."""
-        if len(self) == 0:
-            warnings.warn(Warnings.W036.format(name=self.name))
-
     def _split_label(self, label: str) -> Tuple[str, str]:
         """Split Entity label into ent_label and ent_id if it contains self.ent_id_sep
 
diff --git a/spacy/tests/matcher/test_matcher_api.py b/spacy/tests/matcher/test_matcher_api.py
index d3772a931..e0f655bbe 100644
--- a/spacy/tests/matcher/test_matcher_api.py
+++ b/spacy/tests/matcher/test_matcher_api.py
@@ -481,6 +481,7 @@ def test_matcher_schema_token_attributes(en_vocab, pattern, text):
     assert len(matches) == 1
 
 
+@pytest.mark.filterwarnings("ignore:\\[W036")
 def test_matcher_valid_callback(en_vocab):
     """Test that on_match can only be None or callable."""
     matcher = Matcher(en_vocab)
diff --git a/spacy/tests/matcher/test_matcher_logic.py b/spacy/tests/matcher/test_matcher_logic.py
index 9f575fe05..36708edd0 100644
--- a/spacy/tests/matcher/test_matcher_logic.py
+++ b/spacy/tests/matcher/test_matcher_logic.py
@@ -180,6 +180,7 @@ def test_matcher_sets_return_correct_tokens(en_vocab):
     assert texts == ["zero", "one", "two"]
 
 
+@pytest.mark.filterwarnings("ignore:\\[W036")
 def test_matcher_remove():
     nlp = English()
     matcher = Matcher(nlp.vocab)
diff --git a/spacy/tests/pipeline/test_entity_linker.py b/spacy/tests/pipeline/test_entity_linker.py
index a7f9364e9..13c8cb72e 100644
--- a/spacy/tests/pipeline/test_entity_linker.py
+++ b/spacy/tests/pipeline/test_entity_linker.py
@@ -324,6 +324,7 @@ def test_append_alias(nlp):
     assert len(mykb.get_alias_candidates("douglas")) == 3
 
 
+@pytest.mark.filterwarnings("ignore:\\[W036")
 def test_append_invalid_alias(nlp):
     """Test that append an alias will throw an error if prior probs are exceeding 1"""
     mykb = KnowledgeBase(nlp.vocab, entity_vector_length=1)
@@ -342,6 +343,7 @@ def test_append_invalid_alias(nlp):
         mykb.append_alias(alias="douglas", entity="Q1", prior_prob=0.2)
 
 
+@pytest.mark.filterwarnings("ignore:\\[W036")
 def test_preserving_links_asdoc(nlp):
     """Test that Span.as_doc preserves the existing entity links"""
     vector_length = 1
diff --git a/spacy/tests/pipeline/test_entity_ruler.py b/spacy/tests/pipeline/test_entity_ruler.py
index 4a01ce183..dc0ca0301 100644
--- a/spacy/tests/pipeline/test_entity_ruler.py
+++ b/spacy/tests/pipeline/test_entity_ruler.py
@@ -98,7 +98,8 @@ def test_entity_ruler_clear(nlp, patterns):
     assert len(doc.ents) == 1
     ruler.clear()
     assert len(ruler.labels) == 0
-    doc = nlp("hello world")
+    with pytest.warns(UserWarning):
+        doc = nlp("hello world")
     assert len(doc.ents) == 0