Dependency tree for sentence structure and made notebook funcions importable wit new py file

notebooks/03_semantic_methods.ipynb

@@ -16,7 +16,7 @@
    "cell_type": "code",
    "source": [
     "import import_ipynb\n",
-    "from notebooks.02_baseline_experiments.ipynb import *\n",
+    "#from notebooks. import *\n",
     "\n",
     "import spacy\n",
     "nlp = spacy.load(\"en_core_web_md\")\n",
@@ -77,7 +77,7 @@
    },
    "cell_type": "code",
    "source": [
-    "def sentence_similarity_ang(sent1, sent2):\n",
+    "def sentence_similarity_avg(sent1, sent2):\n",
     "    doc1 = nlp(sent1)\n",
     "    doc2 = nlp(sent2)\n",
     "\n",
@@ -99,6 +99,24 @@
    "id": "68a6757447e4a1c7",
    "outputs": [],
    "execution_count": 3
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "SIF - Smooth Inverse Similarity",
+   "id": "a9c3aa050f5bc0fe"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "def sentence_similarity_sif(sent1, sent2):\n",
+    "    doc1 = nlp(sent1)\n",
+    "    doc2 = nlp(sent2)"
+   ],
+   "id": "c100956f89d9b581"
   }
  ],
  "metadata": {