updated links to guide pages
"\n",
"- Data preparation and model training workflows using arcgis.learn have a dependency on spaCy. Refer to the section \"Install deep learning dependencies of arcgis.learn module\" [on this page](https://developers.arcgis.com/python/guide/install-and-set-up/#Install-deep-learning-dependencies-for-arcgis.learn-module) for detailed documentation on installation of the dependencies.\n",
"- Labelled data: In order for Entity Recognizer to learn, it needs to see examples that have been labelled for all the custom categories that the model is expected to extract. Labelled data for this sample notebook is located at data/EntityRecognizer/labelled_crime_reports.json\n",
- "- To learn how to use Doccano[[2]](#References) for labelling text, please see the guide on [Labeling text using Doccano](https://developers.arcgis.com/python/sample-notebooks/labeling-text-using-doccano)\n",
+ "- To learn how to use Doccano[[2]](#References) for labelling text, please see the guide on [Labeling text using Doccano](https://developers.arcgis.com/python/guide/labeling-text-using-doccano)\n",
"- Test documents to extract named entities are in a zipped file at data/EntityRecognizer/reports.zip\n",
- "- To learn more on how `EntityRecognizer` works, please see the guide on [Named Entity Extraction Workflow with arcgis.learn](https://developers.arcgis.com/python/sample-notebooks/how-named-entity-recognition-works/)."
+ "- To learn more on how `EntityRecognizer` works, please see the guide on [Named Entity Extraction Workflow with arcgis.learn](https://developers.arcgis.com/python/guide/how-named-entity-recognition-works/)."
]
},
{
