diff --git a/concise_concepts/conceptualizer/Conceptualizer.py b/concise_concepts/conceptualizer/Conceptualizer.py
index 36ed37e..71d5cab 100644
--- a/concise_concepts/conceptualizer/Conceptualizer.py
+++ b/concise_concepts/conceptualizer/Conceptualizer.py
@@ -4,6 +4,7 @@
 import re
 from copy import deepcopy
 from pathlib import Path
+from typing import List
 
 import gensim.downloader
 from gensim.models import FastText, Word2Vec
@@ -484,7 +485,7 @@ def set_concept_dict(self):
                     concept.append(present_word)
             self.concept_data[ent_label] = concept
 
-    def _split_word(self, word: str) -> list[str]:
+    def _split_word(self, word: str) -> List[str]:
         """
         It splits a word into a list of subwords, using the word delimiter
 
diff --git a/pyproject.toml b/pyproject.toml
index 7a6515b..fceed1c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "concise-concepts"
-version = "0.7.1"
+version = "0.7.2"
 description = "This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity confidence scores!"
 authors = ["David Berenstein <david.m.berenstein@gmail.com>"]
 license = "MIT"