update sentence similarity tutorial

tutorial/sentence_sim.ipynb

@@ -65,7 +65,7 @@
     "    results = lac.lexical_analysis(data=inputs, use_gpu=True, batch_size=2)\n",
     "    data = []\n",
     "    for result in results:\n",
-    "        data.append(\" \".join(result[\"word\"])\n",
+    "        data.append(\" \".join(result[\"word\"]))\n",
     "    processed_data.append(data)\n",
     "\n",
     "processed_data"
@@ -103,6 +103,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "module = hub.Module(name=\"word2vec_skipgram\")\n",
     "inputs, outputs, program = module.context(trainable=False)\n",
     "vocab = load_vocab(module.get_vocab_path())\n",
     "\n",
@@ -137,6 +138,13 @@
     "    print(\"text_a: %s; text_b: %s; cosine_similarity: %.5f\" %\n",
     "          (item[0], item[1], cos_sim))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {