diff --git a/orangecontrib/text/vectorization/sbert.py b/orangecontrib/text/vectorization/sbert.py
index 7019a2217..652c78a6f 100644
--- a/orangecontrib/text/vectorization/sbert.py
+++ b/orangecontrib/text/vectorization/sbert.py
@@ -1,8 +1,10 @@
+import asyncio
 import json
 import base64
 import warnings
 import zlib
 import sys
+from threading import Thread
 from typing import Any, List, Optional, Callable, Tuple
 
 import numpy as np
@@ -124,11 +126,44 @@ def clear_cache(self):
             self._server_communicator.clear_cache()
 
 
+class RunThread(Thread):
+    def __init__(self, func, *args, **kwargs):
+        self.func, self.args, self.kwargs = func, args, kwargs
+        self.result = None
+        super().__init__()
+
+    def run(self):
+        self.result = asyncio.run(self.func(*self.args, **self.kwargs))
+
+
 class _ServerCommunicator(ServerEmbedderCommunicator):
     def __init__(self, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
         self.content_type = "application/json"
 
+    def embedd_data(
+        self,
+        data: List[Any],
+        callback: Callable = dummy_callback,
+    ) -> List[Optional[List[float]]]:
+        # if there is less items than 10 connection error should be raised earlier
+        self.max_errors = min(len(data) * self.MAX_REPEATS, 10)
+
+        # in case of ontology widget it happens that QSelectorEventLoop event
+        # loop already exists (non-running, by QT). asyncio.run fails in that case
+        # use separate thread in case of existing event loop
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            loop = None
+        if loop:
+            thread = RunThread(self.embedd_batch, data, callback=callback)
+            thread.start()
+            thread.join()
+            return thread.result
+        else:
+            return asyncio.run(self.embedd_batch(data, callback=callback))
+
     async def _encode_data_instance(self, data_instance: Any) -> Optional[bytes]:
         data = base64.b64encode(
             zlib.compress(data_instance.encode("utf-8", "replace"), level=-1)