Mit Colab erstellt

QA_based_Entity_Extraction.ipynb

@@ -213,9 +213,12 @@
       "source": [
         "## Visualization Example - Creating a Map with Earthquake locations\n",
         "\n",
+        "\n",
         "We first use the geopy library to process geographic locations and add their corresponding coordinates (latitude and longitude) to a pandas DataFrame. It includes a GeocodingService class that interfaces with the Nominatim geocoding API, implementing rate-limiting, retries with exponential backoff, and error handling to ensure robust geocoding.\n",
         "\n",
-        "We further use the folium library to create an interactive map with markers for locations provided in a pandas DataFrame. Finally, the map is created and displayed, providing a visual representation of the geographic data."
+        "We further use the folium library to create an interactive map with markers for locations provided in a pandas DataFrame. Finally, the map is created and displayed, providing a visual representation of the geographic data.\n",
+        "\n",
+        "Please not that when using extracted named entities for further analysis, they need to be controlled and verified by a human reader since the model most likely has made some mistakes."
       ],
       "metadata": {
         "id": "8B-_hff0g4IO"
@@ -445,7 +448,7 @@
       "gpuType": "A100",
       "machine_shape": "hm",
       "provenance": [],
-      "authorship_tag": "ABX9TyP6zRXdYDmZCSGy4qC8xbqH",
+      "authorship_tag": "ABX9TyOiLQKoTffbCu6FsSBOKi93",
       "include_colab_link": true
     },
     "kernelspec": {