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Mon October 19, 2020

WEBINAR - BERT-based Open Domain Question Answering using DeepPavlov Library on Azure Machine Learning

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Since the beginning of COVID outbreak, numerous papers have been written describing related medical research, many of which are available in CORD dataset. In this talk, we will describe our experiment of applying Open Domain Question Answering model to this dataset using recent BERT model available in DeepPavlov NLP framework. We will also demonstrate how this model can be trained in a cost-effective manner on Azure Machine Learning, using different compute options for data preparation and training.
Since the beginning of COVID outbreak, numerous papers have been written describing related medical research, many of which are available in CORD dataset. In this talk, we will describe our experiment of applying Open Domain Question Answering model to this dataset using recent BERT model available in DeepPavlov NLP framework. We will also demonstrate how this model can be trained in a cost-effective manner on Azure Machine Learning, using different compute options for data preparation and training.
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