diff --git a/tutorials/Getting_Started.ipynb b/tutorials/Getting_Started.ipynb
index 859b5ede7d4d9a2e75cbbd4dcde294547df2c1e9..4a3b5aca7f5dd6c3762f82acb85a670cc1f2938e 100644
--- a/tutorials/Getting_Started.ipynb
+++ b/tutorials/Getting_Started.ipynb
@@ -10,7 +10,8 @@
     },
     "kernelspec": {
       "name": "python3",
-      "display_name": "Python 3"
+      "display_name": "Python 3",
+      "language": "python"
     }
   },
   "cells": [
@@ -54,9 +55,26 @@
         "# first install ConvLab-2 and restart the notebook\n",
         "! git clone https://github.com/thu-coai/ConvLab-2.git && cd ConvLab-2 && pip install -e ."
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# installing en_core_web_sm for spacy to resolve error in BERTNLU\n",
+        "!python -m spacy download en_core_web_sm"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": []
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -92,7 +110,7 @@
         "import numpy as np\n",
         "import torch"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -125,7 +143,7 @@
         "# assemble\n",
         "sys_agent = PipelineAgent(sys_nlu, sys_dst, sys_policy, sys_nlg, name='sys')"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -148,7 +166,7 @@
       "source": [
         "sys_agent.response(\"I want to find a moderate hotel\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -161,7 +179,7 @@
       "source": [
         "sys_agent.response(\"Which type of hotel is it ?\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -174,7 +192,7 @@
       "source": [
         "sys_agent.response(\"OK , where is its address ?\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -187,7 +205,7 @@
       "source": [
         "sys_agent.response(\"Thank you !\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -200,7 +218,7 @@
       "source": [
         "sys_agent.response(\"Try to find me a Chinese restaurant in south area .\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -213,7 +231,7 @@
       "source": [
         "sys_agent.response(\"Which kind of food it provides ?\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -226,7 +244,7 @@
       "source": [
         "sys_agent.response(\"Book a table for 5 , this Sunday .\")"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -262,7 +280,7 @@
         "# assemble\n",
         "user_agent = PipelineAgent(user_nlu, user_dst, user_policy, user_nlg, name='user')"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -289,7 +307,7 @@
         "evaluator = MultiWozEvaluator()\n",
         "sess = BiSession(sys_agent=sys_agent, user_agent=user_agent, kb_query=None, evaluator=evaluator)"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -337,7 +355,7 @@
         "pprint(sess.evaluator.goal)\n",
         "print('='*100)"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -396,7 +414,7 @@
         "from convlab2.e2e.sequicity.multiwoz import Sequicity\n",
         "from convlab2.e2e.damd.multiwoz import Damd"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -428,7 +446,7 @@
         "# sys_dst = SUMBT()\n",
         "# sys_dst = TRADE()"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -464,7 +482,7 @@
         "# sys_policy = MDRGWordPolicy()\n",
         "# sys_nlg = None"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -487,7 +505,7 @@
       "source": [
         "sys_agent = PipelineAgent(sys_nlu, sys_dst, sys_policy, sys_nlg, 'sys')"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -511,7 +529,7 @@
         "# sys_agent = Sequicity()\n",
         "# sys_agent = Damd()"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -542,7 +560,7 @@
         "# user_nlg = SCLSTM(is_user=True)\n",
         "user_agent = PipelineAgent(user_nlu, user_dst, user_policy, user_nlg, name='user')"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -574,7 +592,7 @@
         "set_seed(20200131)\n",
         "analyzer.comprehensive_analyze(sys_agent=sys_agent, model_name='sys_agent', total_dialog=100)"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -598,7 +616,7 @@
         "set_seed(20200131)\n",
         "analyzer.compare_models(agent_list=[sys_agent1, sys_agent2], model_name=['sys_agent1', 'sys_agent2'], total_dialog=100)"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     }
   ]