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Relation Extraction, which is one of the most important tasks of NLP applications in healthcare, is an expensive process to find competent people who can label the data and label the data in order to train the models. By using the Zero-Shot Learning method, which has recently been used in the field of NLP, it has now become possible to train Relation Extraction models without the need for data labeling. In this presentation, we will explain how to use the Zero-Shot Learning method for Relation Extraction in unstructured texts.
About the speaker
Senior Data Scientist
Muhammet Santas has a Master’s Degree St. in Artificial Intelligence and works as a Data Scientist at John Snow Labs as part of the Healthcare NLP Team.