Add new demos (#13595)

Detect Available Pretrained NER Models Normalize & Augment Company Information with Wikidata Classify Alcohol Status Classify Tobacco Consumption
JohnSnowLabs · Mar 2, 2023 · c3b1d26 · c3b1d26
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diff --git a/docs/assets/images/Classify_Alcohol_Status.svg b/docs/assets/images/Classify_Alcohol_Status.svg
diff --git a/docs/assets/images/Classify_Tobacco_Consumption.svg b/docs/assets/images/Classify_Tobacco_Consumption.svg
diff --git a/docs/assets/images/Detect_Available_Pretrained_NER_Models.svg b/docs/assets/images/Detect_Available_Pretrained_NER_Models.svg
diff --git a/docs/assets/images/Normalize_Augment_Company_Information_with_Wikidata.svg b/docs/assets/images/Normalize_Augment_Company_Information_with_Wikidata.svg
diff --git a/docs/demos/diagnoses_procedures.md b/docs/demos/diagnoses_procedures.md
@@ -104,4 +104,16 @@ data:
           - text: Colab
             type: blue_btn
             url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/RE_CLINICAL_DATE.ipynb
+        - title: Detect Available Pretrained NER Models    
+          id: detect_available_pretrained_ner_models         
+          image: 
+              src: /assets/images/Detect_Available_Pretrained_NER_Models.svg
+          excerpt: This pipeline can be used to explore all the available pretrained NER models at once. When you run this pipeline over your text, you will end up with the predictions coming out of each pretrained clinical NER model.
+          actions:
+          - text: Live Demo
+            type: normal
+            url: https://demo.johnsnowlabs.com/healthcare/NER_PROFILING/
+          - text: Colab
+            type: blue_btn
+            url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings_JSL/Healthcare/1.Clinical_Named_Entity_Recognition_Model.ipynb
 ---
diff --git a/docs/demos/financial_company_normalization.md b/docs/demos/financial_company_normalization.md
@@ -43,5 +43,17 @@ data:
             url: https://demo.johnsnowlabs.com/finance/NEO4J/
           - text: Colab
             type: blue_btn
-            url:        
+            url:     
+        - title: Normalize & Augment Company Information with Wikidata
+          id: normalize_augment_company_information_wikidata    
+          image: 
+              src: /assets/images/Normalize_Augment_Company_Information_with_Wikidata.svg
+          excerpt: This demo shows how to apply NER or Assertion Status to texts from Wikipedia. In addition, shows how you can create data dumps from Wikidata to include them in Spark NLP and use them online for data augmentation purposes, using Chunk Mappers and Entity Resolution.
+          actions:
+          - text: Live Demo
+            type: normal
+            url: https://demo.johnsnowlabs.com/finance/FINANCE_NLP_WITH_WIKIDATA/
+          - text: Colab
+            type: blue_btn
+            url:    
 ---