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Add new demos #13595

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1 change: 1 addition & 0 deletions docs/assets/images/Classify_Alcohol_Status.svg
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1 change: 1 addition & 0 deletions docs/assets/images/Classify_Tobacco_Consumption.svg
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12 changes: 12 additions & 0 deletions docs/demos/diagnoses_procedures.md
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Expand Up @@ -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
---
14 changes: 13 additions & 1 deletion docs/demos/financial_company_normalization.md
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Expand Up @@ -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:
---
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