diff --git a/spacy/__init__.py b/spacy/__init__.py
index 4a0d16a49..6aa7b7c16 100644
--- a/spacy/__init__.py
+++ b/spacy/__init__.py
@@ -13,7 +13,7 @@ from . import pipeline
 from .cli.info import info as cli_info
 from .glossary import explain
 from .about import __version__
-from .errors import Errors, Warnings, deprecation_warning
+from .errors import Errors, Warnings
 from . import util
 from .util import registry
 from .language import component
@@ -26,7 +26,7 @@ if sys.maxunicode == 65535:
 def load(name, **overrides):
     depr_path = overrides.get("path")
     if depr_path not in (True, False, None):
-        deprecation_warning(Warnings.W001.format(path=depr_path))
+        warnings.warn(Warnings.W001.format(path=depr_path), DeprecationWarning)
     return util.load_model(name, **overrides)
 
 
diff --git a/spacy/_ml.py b/spacy/_ml.py
index 2a758accc..5cccabac1 100644
--- a/spacy/_ml.py
+++ b/spacy/_ml.py
@@ -2,6 +2,7 @@
 from __future__ import unicode_literals
 
 import numpy
+import warnings
 from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu
 from thinc.t2t import ExtractWindow, ParametricAttention
 from thinc.t2v import Pooling, sum_pool, mean_pool
@@ -22,7 +23,7 @@ from thinc.neural._classes.affine import _set_dimensions_if_needed
 import thinc.extra.load_nlp
 
 from .attrs import ID, ORTH, LOWER, NORM, PREFIX, SUFFIX, SHAPE
-from .errors import Errors, user_warning, Warnings
+from .errors import Errors, Warnings
 from . import util
 from . import ml as new_ml
 from .ml import _legacy_tok2vec
@@ -283,7 +284,7 @@ def link_vectors_to_models(vocab):
     if vectors.name is None:
         vectors.name = VECTORS_KEY
         if vectors.data.size != 0:
-            user_warning(Warnings.W020.format(shape=vectors.data.shape))
+            warnings.warn(Warnings.W020.format(shape=vectors.data.shape))
     ops = Model.ops
     for word in vocab:
         if word.orth in vectors.key2row:
@@ -299,7 +300,7 @@ def link_vectors_to_models(vocab):
             # This is a hack to avoid the problem in #3853.
             old_name = vectors.name
             new_name = vectors.name + "_%d" % data.shape[0]
-            user_warning(Warnings.W019.format(old=old_name, new=new_name))
+            warnings.warn(Warnings.W019.format(old=old_name, new=new_name))
             vectors.name = new_name
             key = (ops.device, vectors.name)
     thinc.extra.load_nlp.VECTORS[key] = data
diff --git a/spacy/analysis.py b/spacy/analysis.py
index 761be3de9..960ce6c0f 100644
--- a/spacy/analysis.py
+++ b/spacy/analysis.py
@@ -1,11 +1,13 @@
 # coding: utf8
 from __future__ import unicode_literals
 
+import warnings
+
 from collections import OrderedDict
 from wasabi import Printer
 
 from .tokens import Doc, Token, Span
-from .errors import Errors, Warnings, user_warning
+from .errors import Errors, Warnings
 
 
 def analyze_pipes(pipeline, name, pipe, index, warn=True):
@@ -34,7 +36,7 @@ def analyze_pipes(pipeline, name, pipe, index, warn=True):
         if not fulfilled:
             problems.append(annot)
             if warn:
-                user_warning(Warnings.W025.format(name=name, attr=annot))
+                warnings.warn(Warnings.W025.format(name=name, attr=annot))
     return problems
 
 
diff --git a/spacy/cli/init_model.py b/spacy/cli/init_model.py
index 0bdd4000e..32d2d974e 100644
--- a/spacy/cli/init_model.py
+++ b/spacy/cli/init_model.py
@@ -15,7 +15,7 @@ import srsly
 from wasabi import msg
 
 from ..vectors import Vectors
-from ..errors import Errors, Warnings, user_warning
+from ..errors import Errors, Warnings
 from ..util import ensure_path, get_lang_class, OOV_RANK
 
 try:
@@ -246,7 +246,7 @@ def read_freqs(freqs_loc, max_length=100, min_doc_freq=5, min_freq=50):
 def read_clusters(clusters_loc):
     clusters = {}
     if ftfy is None:
-        user_warning(Warnings.W004)
+        warnings.warn(Warnings.W004)
     with clusters_loc.open() as f:
         for line in tqdm(f):
             try:
diff --git a/spacy/displacy/__init__.py b/spacy/displacy/__init__.py
index 922d80e57..8a6ec2f53 100644
--- a/spacy/displacy/__init__.py
+++ b/spacy/displacy/__init__.py
@@ -10,7 +10,7 @@ from __future__ import unicode_literals
 from .render import DependencyRenderer, EntityRenderer
 from ..tokens import Doc, Span
 from ..compat import b_to_str
-from ..errors import Errors, Warnings, user_warning
+from ..errors import Errors, Warnings
 from ..util import is_in_jupyter
 
 
@@ -89,7 +89,7 @@ def serve(
     from wsgiref import simple_server
 
     if is_in_jupyter():
-        user_warning(Warnings.W011)
+        warnings.warn(Warnings.W011)
 
     render(docs, style=style, page=page, minify=minify, options=options, manual=manual)
     httpd = simple_server.make_server(host, port, app)
@@ -119,7 +119,7 @@ def parse_deps(orig_doc, options={}):
     """
     doc = Doc(orig_doc.vocab).from_bytes(orig_doc.to_bytes(exclude=["user_data"]))
     if not doc.is_parsed:
-        user_warning(Warnings.W005)
+        warnings.warn(Warnings.W005)
     if options.get("collapse_phrases", False):
         with doc.retokenize() as retokenizer:
             for np in list(doc.noun_chunks):
@@ -184,7 +184,7 @@ def parse_ents(doc, options={}):
         for ent in doc.ents
     ]
     if not ents:
-        user_warning(Warnings.W006)
+        warnings.warn(Warnings.W006)
     title = doc.user_data.get("title", None) if hasattr(doc, "user_data") else None
     settings = get_doc_settings(doc)
     return {"text": doc.text, "ents": ents, "title": title, "settings": settings}
diff --git a/spacy/errors.py b/spacy/errors.py
index e52241be1..664c0a2fc 100644
--- a/spacy/errors.py
+++ b/spacy/errors.py
@@ -1,11 +1,6 @@
 # coding: utf8
 from __future__ import unicode_literals
 
-import os
-import warnings
-import inspect
-
-
 def add_codes(err_cls):
     """Add error codes to string messages via class attribute names."""
 
@@ -93,8 +88,7 @@ class Warnings(object):
     W022 = ("Training a new part-of-speech tagger using a model with no "
             "lemmatization rules or data. This means that the trained model "
             "may not be able to lemmatize correctly. If this is intentional "
-            "or the language you're using doesn't have lemmatization data, "
-            "you can ignore this warning by setting SPACY_WARNING_IGNORE=W022. "
+            "or the language you're using doesn't have lemmatization data. "
             "If this is surprising, make sure you have the spacy-lookups-data "
             "package installed.")
     W023 = ("Multiprocessing of Language.pipe is not supported in Python 2. "
@@ -593,64 +587,3 @@ class MatchPatternError(ValueError):
 
 class AlignmentError(ValueError):
     pass
-
-
-class ModelsWarning(UserWarning):
-    pass
-
-
-WARNINGS = {
-    "user": UserWarning,
-    "deprecation": DeprecationWarning,
-    "models": ModelsWarning,
-}
-
-
-def _get_warn_types(arg):
-    if arg == "":  # don't show any warnings
-        return []
-    if not arg or arg == "all":  # show all available warnings
-        return WARNINGS.keys()
-    return [w_type.strip() for w_type in arg.split(",") if w_type.strip() in WARNINGS]
-
-
-def _get_warn_excl(arg):
-    if not arg:
-        return []
-    return [w_id.strip() for w_id in arg.split(",")]
-
-
-SPACY_WARNING_FILTER = os.environ.get("SPACY_WARNING_FILTER")
-SPACY_WARNING_TYPES = _get_warn_types(os.environ.get("SPACY_WARNING_TYPES"))
-SPACY_WARNING_IGNORE = _get_warn_excl(os.environ.get("SPACY_WARNING_IGNORE"))
-
-
-def user_warning(message):
-    _warn(message, "user")
-
-
-def deprecation_warning(message):
-    _warn(message, "deprecation")
-
-
-def models_warning(message):
-    _warn(message, "models")
-
-
-def _warn(message, warn_type="user"):
-    """
-    message (unicode): The message to display.
-    category (Warning): The Warning to show.
-    """
-    if message.startswith("["):
-        w_id = message.split("[", 1)[1].split("]", 1)[0]  # get ID from string
-    else:
-        w_id = None
-    ignore_warning = w_id and w_id in SPACY_WARNING_IGNORE
-    if warn_type in SPACY_WARNING_TYPES and not ignore_warning:
-        category = WARNINGS[warn_type]
-        stack = inspect.stack()[-1]
-        with warnings.catch_warnings():
-            if SPACY_WARNING_FILTER:
-                warnings.simplefilter(SPACY_WARNING_FILTER, category)
-            warnings.warn_explicit(message, category, stack[1], stack[2])
diff --git a/spacy/gold.pyx b/spacy/gold.pyx
index 8b61de683..e8274563f 100644
--- a/spacy/gold.pyx
+++ b/spacy/gold.pyx
@@ -10,10 +10,11 @@ import shutil
 import itertools
 from pathlib import Path
 import srsly
+import warnings
 
 from .syntax import nonproj
 from .tokens import Doc, Span
-from .errors import Errors, AlignmentError, user_warning, Warnings
+from .errors import Errors, AlignmentError, Warnings
 from .compat import path2str
 from . import util
 from .util import minibatch, itershuffle
@@ -508,7 +509,7 @@ def _json_iterate(loc):
         py_raw = file_.read()
     cdef long file_length = len(py_raw)
     if file_length > 2 ** 30:
-        user_warning(Warnings.W027.format(size=file_length))
+        warnings.warn(Warnings.W027.format(size=file_length))
 
     raw = <char*>py_raw
     cdef int square_depth = 0
@@ -690,7 +691,7 @@ cdef class GoldParse:
                         else:
                             words_offset -= 1
                     if len(entities) != len(words):
-                        user_warning(Warnings.W029.format(text=doc.text))
+                        warnings.warn(Warnings.W029.format(text=doc.text))
                         entities = ["-" for _ in words]
 
             # These are filled by the tagger/parser/entity recogniser
diff --git a/spacy/kb.pyx b/spacy/kb.pyx
index 63eb41b42..36a6dbd93 100644
--- a/spacy/kb.pyx
+++ b/spacy/kb.pyx
@@ -1,7 +1,9 @@
 # cython: infer_types=True
 # cython: profile=True
 # coding: utf8
-from spacy.errors import Errors, Warnings, user_warning
+import warnings
+
+from spacy.errors import Errors, Warnings
 
 from pathlib import Path
 from cymem.cymem cimport Pool
@@ -115,7 +117,7 @@ cdef class KnowledgeBase:
 
         # Return if this entity was added before
         if entity_hash in self._entry_index:
-            user_warning(Warnings.W018.format(entity=entity))
+            warnings.warn(Warnings.W018.format(entity=entity))
             return
 
         # Raise an error if the provided entity vector is not of the correct length
@@ -147,7 +149,7 @@ cdef class KnowledgeBase:
             # only process this entity if its unique ID hadn't been added before
             entity_hash = self.vocab.strings.add(entity_list[i])
             if entity_hash in self._entry_index:
-                user_warning(Warnings.W018.format(entity=entity_list[i]))
+                warnings.warn(Warnings.W018.format(entity=entity_list[i]))
 
             else:
                 entity_vector = vector_list[i]
@@ -195,7 +197,7 @@ cdef class KnowledgeBase:
 
         # Check whether this alias was added before
         if alias_hash in self._alias_index:
-            user_warning(Warnings.W017.format(alias=alias))
+            warnings.warn(Warnings.W017.format(alias=alias))
             return
 
         cdef vector[int64_t] entry_indices
@@ -252,7 +254,7 @@ cdef class KnowledgeBase:
 
         if is_present:
             if not ignore_warnings:
-                user_warning(Warnings.W024.format(entity=entity, alias=alias))
+                warnings.warn(Warnings.W024.format(entity=entity, alias=alias))
         else:
             entry_indices.push_back(int(entry_index))
             alias_entry.entry_indices = entry_indices
diff --git a/spacy/language.py b/spacy/language.py
index f5eff2ae9..e89f80f08 100644
--- a/spacy/language.py
+++ b/spacy/language.py
@@ -3,6 +3,7 @@ from __future__ import absolute_import, unicode_literals
 
 import random
 import itertools
+import warnings
 
 from thinc.extra import load_nlp
 
@@ -34,7 +35,7 @@ from .lang.tokenizer_exceptions import TOKEN_MATCH
 from .lang.tag_map import TAG_MAP
 from .tokens import Doc
 from .lang.lex_attrs import LEX_ATTRS, is_stop
-from .errors import Errors, Warnings, deprecation_warning, user_warning
+from .errors import Errors, Warnings
 from . import util
 from . import about
 
@@ -758,10 +759,10 @@ class Language(object):
         DOCS: https://spacy.io/api/language#pipe
         """
         if is_python2 and n_process != 1:
-            user_warning(Warnings.W023)
+            warnings.warn(Warnings.W023)
             n_process = 1
         if n_threads != -1:
-            deprecation_warning(Warnings.W016)
+            warnings.warn(Warnings.W016, DeprecationWarning)
         if n_process == -1:
             n_process = mp.cpu_count()
         if as_tuples:
@@ -896,7 +897,7 @@ class Language(object):
         DOCS: https://spacy.io/api/language#to_disk
         """
         if disable is not None:
-            deprecation_warning(Warnings.W014)
+            warnings.warn(Warnings.W014, DeprecationWarning)
             exclude = disable
         path = util.ensure_path(path)
         serializers = OrderedDict()
@@ -929,7 +930,7 @@ class Language(object):
         DOCS: https://spacy.io/api/language#from_disk
         """
         if disable is not None:
-            deprecation_warning(Warnings.W014)
+            warnings.warn(Warnings.W014, DeprecationWarning)
             exclude = disable
         path = util.ensure_path(path)
         deserializers = OrderedDict()
@@ -964,7 +965,7 @@ class Language(object):
         DOCS: https://spacy.io/api/language#to_bytes
         """
         if disable is not None:
-            deprecation_warning(Warnings.W014)
+            warnings.warn(Warnings.W014, DeprecationWarning)
             exclude = disable
         serializers = OrderedDict()
         serializers["vocab"] = lambda: self.vocab.to_bytes()
@@ -989,7 +990,7 @@ class Language(object):
         DOCS: https://spacy.io/api/language#from_bytes
         """
         if disable is not None:
-            deprecation_warning(Warnings.W014)
+            warnings.warn(Warnings.W014, DeprecationWarning)
             exclude = disable
         deserializers = OrderedDict()
         deserializers["meta.json"] = lambda b: self.meta.update(srsly.json_loads(b))
diff --git a/spacy/lexeme.pyx b/spacy/lexeme.pyx
index 21644e37b..a081ffe42 100644
--- a/spacy/lexeme.pyx
+++ b/spacy/lexeme.pyx
@@ -9,6 +9,7 @@ cimport numpy as np
 np.import_array()
 
 import numpy
+import warnings
 from thinc.neural.util import get_array_module
 
 from libc.stdint cimport UINT64_MAX
@@ -19,7 +20,7 @@ from .attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
 from .attrs cimport IS_CURRENCY, IS_OOV, PROB
 
 from .attrs import intify_attrs
-from .errors import Errors, Warnings, user_warning
+from .errors import Errors, Warnings
 
 
 OOV_RANK = UINT64_MAX
@@ -130,7 +131,7 @@ cdef class Lexeme:
             if self.c.orth == other[0].orth:
                 return 1.0
         if self.vector_norm == 0 or other.vector_norm == 0:
-            user_warning(Warnings.W008.format(obj="Lexeme"))
+            warnings.warn(Warnings.W008.format(obj="Lexeme"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)
diff --git a/spacy/matcher/matcher.pyx b/spacy/matcher/matcher.pyx
index 9e0fe2812..7f3c3488f 100644
--- a/spacy/matcher/matcher.pyx
+++ b/spacy/matcher/matcher.pyx
@@ -9,6 +9,7 @@ from murmurhash.mrmr cimport hash64
 
 import re
 import srsly
+import warnings
 
 from ..typedefs cimport attr_t
 from ..structs cimport TokenC
@@ -20,7 +21,7 @@ from ..attrs cimport ID, attr_id_t, NULL_ATTR, ORTH, POS, TAG, DEP, LEMMA
 
 from ._schemas import TOKEN_PATTERN_SCHEMA
 from ..util import get_json_validator, validate_json
-from ..errors import Errors, MatchPatternError, Warnings, deprecation_warning
+from ..errors import Errors, MatchPatternError, Warnings
 from ..strings import get_string_id
 from ..attrs import IDS
 
@@ -195,7 +196,7 @@ cdef class Matcher:
         YIELDS (Doc): Documents, in order.
         """
         if n_threads != -1:
-            deprecation_warning(Warnings.W016)
+            warnings.warn(Warnings.W016, DeprecationWarning)
 
         if as_tuples:
             for doc, context in docs:
diff --git a/spacy/matcher/phrasematcher.pyx b/spacy/matcher/phrasematcher.pyx
index 4de5782f9..b66ec35b8 100644
--- a/spacy/matcher/phrasematcher.pyx
+++ b/spacy/matcher/phrasematcher.pyx
@@ -6,13 +6,15 @@ from libc.stdint cimport uintptr_t
 
 from preshed.maps cimport map_init, map_set, map_get, map_clear, map_iter
 
+import warnings
+
 from ..attrs cimport ORTH, POS, TAG, DEP, LEMMA
 from ..structs cimport TokenC
 from ..tokens.token cimport Token
 from ..typedefs cimport attr_t
 
 from ._schemas import TOKEN_PATTERN_SCHEMA
-from ..errors import Errors, Warnings, deprecation_warning, user_warning
+from ..errors import Errors, Warnings
 
 
 cdef class PhraseMatcher:
@@ -39,7 +41,7 @@ cdef class PhraseMatcher:
         DOCS: https://spacy.io/api/phrasematcher#init
         """
         if max_length != 0:
-            deprecation_warning(Warnings.W010)
+            warnings.warn(Warnings.W010, DeprecationWarning)
         self.vocab = vocab
         self._callbacks = {}
         self._docs = {}
@@ -195,7 +197,7 @@ cdef class PhraseMatcher:
                 if self._validate and (doc.is_tagged or doc.is_parsed) \
                   and self.attr not in (DEP, POS, TAG, LEMMA):
                     string_attr = self.vocab.strings[self.attr]
-                    user_warning(Warnings.W012.format(key=key, attr=string_attr))
+                    warnings.warn(Warnings.W012.format(key=key, attr=string_attr))
                 keyword = self._convert_to_array(doc)
             else:
                 keyword = doc
@@ -204,7 +206,7 @@ cdef class PhraseMatcher:
             current_node = self.c_map
             for token in keyword:
                 if token == self._terminal_hash:
-                    user_warning(Warnings.W021)
+                    warnings.warn(Warnings.W021)
                     break
                 result = <MapStruct*>map_get(current_node, token)
                 if not result:
@@ -306,7 +308,7 @@ cdef class PhraseMatcher:
         DOCS: https://spacy.io/api/phrasematcher#pipe
         """
         if n_threads != -1:
-            deprecation_warning(Warnings.W016)
+            warnings.warn(Warnings.W016, DeprecationWarning)
         if as_tuples:
             for doc, context in stream:
                 matches = self(doc)
diff --git a/spacy/pipeline/pipes.pyx b/spacy/pipeline/pipes.pyx
index f2a86d56e..982c058b4 100644
--- a/spacy/pipeline/pipes.pyx
+++ b/spacy/pipeline/pipes.pyx
@@ -6,6 +6,7 @@ from __future__ import unicode_literals
 import numpy
 import srsly
 import random
+import warnings
 from collections import OrderedDict
 from thinc.api import chain
 from thinc.v2v import Affine, Maxout, Softmax
@@ -32,7 +33,7 @@ from .._ml import build_text_classifier, build_simple_cnn_text_classifier
 from .._ml import build_bow_text_classifier, build_nel_encoder
 from .._ml import link_vectors_to_models, zero_init, flatten
 from .._ml import masked_language_model, create_default_optimizer, get_cossim_loss
-from ..errors import Errors, TempErrors, user_warning, Warnings
+from ..errors import Errors, TempErrors, Warnings
 from .. import util
 
 
@@ -514,7 +515,7 @@ class Tagger(Pipe):
                        **kwargs):
         lemma_tables = ["lemma_rules", "lemma_index", "lemma_exc", "lemma_lookup"]
         if not any(table in self.vocab.lookups for table in lemma_tables):
-            user_warning(Warnings.W022)
+            warnings.warn(Warnings.W022)
         orig_tag_map = dict(self.vocab.morphology.tag_map)
         new_tag_map = OrderedDict()
         for raw_text, annots_brackets in get_gold_tuples():
diff --git a/spacy/tests/doc/test_doc_api.py b/spacy/tests/doc/test_doc_api.py
index 19d908529..6801d7844 100644
--- a/spacy/tests/doc/test_doc_api.py
+++ b/spacy/tests/doc/test_doc_api.py
@@ -6,7 +6,6 @@ import pytest
 import numpy
 from spacy.tokens import Doc, Span
 from spacy.vocab import Vocab
-from spacy.errors import ModelsWarning
 from spacy.attrs import ENT_TYPE, ENT_IOB, SENT_START, HEAD, DEP
 
 from ..util import get_doc
@@ -216,7 +215,7 @@ def test_doc_api_similarity_match():
     assert doc.similarity(doc[0]) == 1.0
     assert doc.similarity(doc.vocab["a"]) == 1.0
     doc2 = Doc(doc.vocab, words=["a", "b", "c"])
-    with pytest.warns(ModelsWarning):
+    with pytest.warns(UserWarning):
         assert doc.similarity(doc2[:1]) == 1.0
         assert doc.similarity(doc2) == 0.0
 
diff --git a/spacy/tests/doc/test_span.py b/spacy/tests/doc/test_span.py
index 917f22e9c..e76ca4697 100644
--- a/spacy/tests/doc/test_span.py
+++ b/spacy/tests/doc/test_span.py
@@ -5,7 +5,6 @@ import pytest
 from spacy.attrs import ORTH, LENGTH
 from spacy.tokens import Doc, Span
 from spacy.vocab import Vocab
-from spacy.errors import ModelsWarning
 from spacy.util import filter_spans
 
 from ..util import get_doc
@@ -124,7 +123,7 @@ def test_span_similarity_match():
     doc = Doc(Vocab(), words=["a", "b", "a", "b"])
     span1 = doc[:2]
     span2 = doc[2:]
-    with pytest.warns(ModelsWarning):
+    with pytest.warns(UserWarning):
         assert span1.similarity(span2) == 1.0
         assert span1.similarity(doc) == 0.0
         assert span1[:1].similarity(doc.vocab["a"]) == 1.0
diff --git a/spacy/tokenizer.pyx b/spacy/tokenizer.pyx
index 62b8bbf4a..69d6285e1 100644
--- a/spacy/tokenizer.pyx
+++ b/spacy/tokenizer.pyx
@@ -11,6 +11,7 @@ cimport cython
 
 from collections import OrderedDict
 import re
+import warnings
 
 from .tokens.doc cimport Doc
 from .strings cimport hash_string
@@ -18,7 +19,7 @@ from .compat import unescape_unicode, basestring_
 from .attrs import intify_attrs
 from .symbols import ORTH
 
-from .errors import Errors, Warnings, deprecation_warning
+from .errors import Errors, Warnings
 from . import util
 
 
@@ -115,7 +116,7 @@ cdef class Tokenizer:
         return (self.__class__, args, None, None)
 
     cpdef Doc tokens_from_list(self, list strings):
-        deprecation_warning(Warnings.W002)
+        warnings.warn(Warnings.W002, DeprecationWarning)
         return Doc(self.vocab, words=strings)
 
     @cython.boundscheck(False)
@@ -181,7 +182,7 @@ cdef class Tokenizer:
         DOCS: https://spacy.io/api/tokenizer#pipe
         """
         if n_threads != -1:
-            deprecation_warning(Warnings.W016)
+            warnings.warn(Warnings.W016, DeprecationWarning)
         for text in texts:
             yield self(text)
 
diff --git a/spacy/tokens/doc.pyx b/spacy/tokens/doc.pyx
index f27115e6f..867c2bf6b 100644
--- a/spacy/tokens/doc.pyx
+++ b/spacy/tokens/doc.pyx
@@ -16,6 +16,7 @@ import numpy.linalg
 import struct
 import srsly
 from thinc.neural.util import get_array_module, copy_array
+import warnings
 
 from .span cimport Span
 from .token cimport Token
@@ -29,7 +30,6 @@ from ..parts_of_speech cimport CCONJ, PUNCT, NOUN, univ_pos_t
 from ..attrs import intify_attrs, IDS
 from ..util import normalize_slice
 from ..compat import is_config, copy_reg, pickle, basestring_
-from ..errors import deprecation_warning, models_warning, user_warning
 from ..errors import Errors, Warnings
 from .. import util
 from .underscore import Underscore, get_ext_args
@@ -396,9 +396,9 @@ cdef class Doc:
             if similar:
                 return 1.0
         if self.vocab.vectors.n_keys == 0:
-            models_warning(Warnings.W007.format(obj="Doc"))
+            warnings.warn(Warnings.W007.format(obj="Doc"))
         if self.vector_norm == 0 or other.vector_norm == 0:
-            user_warning(Warnings.W008.format(obj="Doc"))
+            warnings.warn(Warnings.W008.format(obj="Doc"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)
@@ -787,7 +787,7 @@ cdef class Doc:
         attrs = [(IDS[id_.upper()] if hasattr(id_, "upper") else id_)
                  for id_ in attrs]
         if array.dtype != numpy.uint64:
-            user_warning(Warnings.W028.format(type=array.dtype))
+            warnings.warn(Warnings.W028.format(type=array.dtype))
 
         if SENT_START in attrs and HEAD in attrs:
             raise ValueError(Errors.E032)
@@ -1040,10 +1040,10 @@ cdef class Doc:
             indices did not fall at token boundaries.
         """
         cdef unicode tag, lemma, ent_type
-        deprecation_warning(Warnings.W013.format(obj="Doc"))
+        warnings.warn(Warnings.W013.format(obj="Doc"), DeprecationWarning)
         # TODO: ENT_KB_ID ?
         if len(args) == 3:
-            deprecation_warning(Warnings.W003)
+            warnings.warn(Warnings.W003, DeprecationWarning)
             tag, lemma, ent_type = args
             attributes[TAG] = tag
             attributes[LEMMA] = lemma
@@ -1183,7 +1183,7 @@ cdef int set_children_from_heads(TokenC* tokens, int length) except -1:
     while not heads_within_sents:
         heads_within_sents = _set_lr_kids_and_edges(tokens, length, loop_count)
         if loop_count > 10:
-            user_warning(Warnings.W026)
+            warnings.warn(Warnings.W026)
             break
         loop_count += 1
     # Set sentence starts
diff --git a/spacy/tokens/span.pyx b/spacy/tokens/span.pyx
index 9269700b0..347916a0a 100644
--- a/spacy/tokens/span.pyx
+++ b/spacy/tokens/span.pyx
@@ -6,6 +6,7 @@ from libc.math cimport sqrt
 
 import numpy
 import numpy.linalg
+import warnings
 from thinc.neural.util import get_array_module
 from collections import defaultdict
 
@@ -21,8 +22,7 @@ from ..symbols cimport dep
 
 from ..util import normalize_slice
 from ..compat import is_config, basestring_
-from ..errors import Errors, TempErrors, Warnings, user_warning, models_warning
-from ..errors import deprecation_warning
+from ..errors import Errors, TempErrors, Warnings
 from .underscore import Underscore, get_ext_args
 
 
@@ -292,7 +292,7 @@ cdef class Span:
             attributes are inherited from the syntactic root token of the span.
         RETURNS (Token): The newly merged token.
         """
-        deprecation_warning(Warnings.W013.format(obj="Span"))
+        warnings.warn(Warnings.W013.format(obj="Span"), DeprecationWarning)
         return self.doc.merge(self.start_char, self.end_char, *args,
                               **attributes)
 
@@ -333,9 +333,9 @@ cdef class Span:
             if similar:
                 return 1.0
         if self.vocab.vectors.n_keys == 0:
-            models_warning(Warnings.W007.format(obj="Span"))
+            warnings.warn(Warnings.W007.format(obj="Span"))
         if self.vector_norm == 0.0 or other.vector_norm == 0.0:
-            user_warning(Warnings.W008.format(obj="Span"))
+            warnings.warn(Warnings.W008.format(obj="Span"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)
diff --git a/spacy/tokens/token.pyx b/spacy/tokens/token.pyx
index 8019e3b4f..efd9aa10b 100644
--- a/spacy/tokens/token.pyx
+++ b/spacy/tokens/token.pyx
@@ -10,6 +10,7 @@ cimport numpy as np
 np.import_array()
 
 import numpy
+import warnings
 from thinc.neural.util import get_array_module
 
 from ..typedefs cimport hash_t
@@ -24,7 +25,7 @@ from ..symbols cimport conj
 from .. import parts_of_speech
 from .. import util
 from ..compat import is_config
-from ..errors import Errors, Warnings, user_warning, models_warning
+from ..errors import Errors, Warnings
 from .underscore import Underscore, get_ext_args
 from .morphanalysis cimport MorphAnalysis
 
@@ -211,9 +212,9 @@ cdef class Token:
             if self.c.lex.orth == other.orth:
                 return 1.0
         if self.vocab.vectors.n_keys == 0:
-            models_warning(Warnings.W007.format(obj="Token"))
+            warnings.warn(Warnings.W007.format(obj="Token"))
         if self.vector_norm == 0 or other.vector_norm == 0:
-            user_warning(Warnings.W008.format(obj="Token"))
+            warnings.warn(Warnings.W008.format(obj="Token"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)
diff --git a/spacy/util.py b/spacy/util.py
index a5e27a210..7f2e0058f 100644
--- a/spacy/util.py
+++ b/spacy/util.py
@@ -30,7 +30,7 @@ except ImportError:
 from .symbols import ORTH
 from .compat import cupy, CudaStream, path2str, basestring_, unicode_
 from .compat import import_file
-from .errors import Errors, Warnings, deprecation_warning
+from .errors import Errors, Warnings
 
 
 _data_path = Path(__file__).parent / "data"
@@ -749,7 +749,7 @@ def get_serialization_exclude(serializers, exclude, kwargs):
     options = [name.split(".")[0] for name in serializers]
     for key, value in kwargs.items():
         if key in ("vocab",) and value is False:
-            deprecation_warning(Warnings.W015.format(arg=key))
+            warnings.warn(Warnings.W015.format(arg=key), DeprecationWarning)
             exclude.append(key)
         elif key.split(".")[0] in options:
             raise ValueError(Errors.E128.format(arg=key))