EduBERT: Pretrained Deep Language Models for Learning Analytics

2 Dec 2019Benjamin ClaviéKobi Gal

The use of large pretrained neural networks to create contextualized word embeddings has drastically improved performance on several natural language processing (NLP) tasks. These computationally expensive models have begun to be applied to domain-specific NLP tasks such as re-hospitalization prediction from clinical notes... (read more)

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