Add few changes

docs/demos/analyze_non_english_medical_text.md

@@ -19,6 +19,7 @@ data:
       source: yes
       source: 
         - title: ICD-10 taxonomy for German medical terminology
+          hide: yes
           id: icd10_coding_for_german
           image: 
               src: /assets/images/Detect_diagnosis_and_procedures.svg

docs/demos/european_languages.md

@@ -255,5 +255,20 @@ data:
             url: https://demo.johnsnowlabs.com/healthcare/NER_LENER/
           - text: Colab Netbook
             type: blue_btn
-            url: https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/NER_LEGAL_PT.ipynb        
+            url: https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/NER_LEGAL_PT.ipynb
+        - title: Detect Entities in tweets 
+          id: detect_entities_tweets  
+          image: 
+              src: /assets/images/Detect_Entities_in_tweets.svg
+          image2: 
+              src: /assets/images/Detect_Entities_in_tweets_f.svg
+          excerpt: This demo shows how to extract Named Entities, as PER, ORG or LOC, from tweets.
+          actions:
+          - text: Live Demo
+            type: normal
+            url: https://demo.johnsnowlabs.com/public/NER_BTC/ 
+          - text: Colab Netbook
+            type: blue_btn
+            url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/NER_BTC.ipynb
+---        
 ---

docs/demos/infer_meaning_intent.md

@@ -115,19 +115,4 @@ data:
             url:  https://demo.johnsnowlabs.com/public/NER_CLS_ATIS
           - text: Colab Netbook
             type: blue_btn
-            url:  https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/NER.ipynb
-        - title: Detect Entities in tweets 
-          id: detect_entities_tweets  
-          image: 
-              src: /assets/images/Detect_Entities_in_tweets.svg
-          image2: 
-              src: /assets/images/Detect_Entities_in_tweets_f.svg
-          excerpt: This demo shows how to extract Named Entities, as PER, ORG or LOC, from tweets.
-          actions:
-          - text: Live Demo
-            type: normal
-            url: https://demo.johnsnowlabs.com/public/NER_BTC/ 
-          - text: Colab Netbook
-            type: blue_btn
-            url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/NER_BTC.ipynb
----
+            url:  https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/NER.ipynb        

docs/demos/resolve_entities_codes.md

@@ -46,7 +46,7 @@ data:
           - text: Colab Netbook
             type: blue_btn
             url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/ER_ICDO.ipynb
-        - title: Map clinical terminology to ICD10-CM codes
+        - title: Map clinical terminology to ICD-10-CM taxonomy
           id: icd10-cm_coding
           image: 
               src: /assets/images/Resolve_Symptoms_to_ICD10-CM_Codes.svg
@@ -60,7 +60,7 @@ data:
           - text: Colab Netbook
             type: blue_btn
             url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/ER_ICD10_CM.ipynb
-        - title: Map drug terminology to RxNorm codes
+        - title: Map drug terminology to RxNorm taxonomy
           id: rxnorm_coding
           image: 
               src: /assets/images/Resolve_Drugs_to_RxNorm_Codes.svg
@@ -104,7 +104,7 @@ data:
           - text: Colab Netbook
             type: blue_btn
             url: https://githubtocolab.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/24.Improved_Entity_Resolvers_in_SparkNLP_with_sBert.ipynb
-        - title: Map Healthcare Codes
+        - title: Map healthcare codes between taxonomies
           id: logical-observation-identifiers-names-and-codes
           image: 
               src: /assets/images/Map_Healthcare_Codes.svg
@@ -118,7 +118,7 @@ data:
           - text: Colab Netbook
             type: blue_btn
             url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/11.1.Healthcare_Code_Mapping.ipynb#scrollTo=e5qYdIEv4JPL
-        - title: Map laboratory terminology to LOINC codes
+        - title: Map laboratory terminology to LOINC taxonomy
           id: resolve_clinical_entities_codes_loinc
           image: 
               src: /assets/images/Resolve_Clinical_Entities_to_LOINC.svg
@@ -132,7 +132,7 @@ data:
           - text: Colab Netbook
             type: blue_btn
             url: https://githubtocolab.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/24.Improved_Entity_Resolvers_in_SparkNLP_with_sBert.ipynb    
-        - title: Extract Hierarchical Condition Categories billable codes using ICD10-CM taxonomy
+        - title: Extract Hierarchical Condition Categories billable codes using ICD-10-CM taxonomy
           id: resolve_clinical_entities_codes_loinc
           image: 
               src: /assets/images/Sentence_Entity_Resolver_for_billable_ICD10-CM_HCC.svg
@@ -146,7 +146,7 @@ data:
           - text: Colab Netbook
             type: blue_btn
             url: https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/ER_ICD10_CM.ipynb  
-        - title: Sentence Entity Resolver for ICD10-CM codes
+        - title: Sentence Entity Resolvers using ICD-10-CM taxonomy
           id: resolve_clinical_entities_codes_loinc
           image: 
               src: /assets/images/Sentence_Entity_Resolver_for_billable_ICD10-CM_HCC_codesReports.svg