Archives for biomedical NLP
Last week, ImageNet, one of the world’s most influential AI datasets, decided to blur the faces of people in its database in an effort to increase user privacy. In another part of the world, researchers at the University Erlangen-Nurnberg in Germany discovered that the X-ray datasets used by AI classification systems were not as anonymous…
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How Domain-Specific Pre-Training Can Outstrip General Language Models In Biomedical NLP Tasks
While it has been established that pre-training large natural language models like Google’s BERT or XLNet, can bring immense advantages in NLP tasks, these are usually trained on a general collection of texts like websites, documents, books and news. On the other hand, experts believe that pre-training models on domain-specific knowledge can provide substantial gains…
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