Context Counts: How to Use Transfer Learning and Model-Aided Labeling to Train Data Tailored Models

Thanks to great advances and breakthroughs in the area of Natural Language Processing (NLP), we have access to a vast amount of ready to use Named Entity Recognition (NER) classifiers. These classifiers are available in many common languages, and their variety is growing rapidly. There are models that cover language entities relevant to many use...
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