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Improved Entity Resolution with SentenceChunkEmbeddings ipynb with Spark NLP

Entity Resolution is the process of predicting UMLS codes for medical concepts. While processing medical text, this process relies heavily on the concepts identified by NER models. NER models at first identify medical models, which are then fed to the Entity Resolver models to get UMLS codes. In most cases, these concepts/chunks are very concise. Read more – https://www.johnsnowlabs.com/improved…

Improved Entity Resolution using contextual information with Spark NLP

Entity Resolution is the process of predicting UMLS codes for medical concepts. While processing medical text, this process relies heavily on the...