Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

arXiv:2404.05694v1 Announce Type: cross
Abstract: Recent advances in natural language processing (NLP) can be largely attributed to the advent of pre-trained language models such as BERT and RoBERTa. While these models demonstrate remarkable performance on general datasets, they can struggle in specialized domains such as medicine, where unique domain-specific terminologies, domain-specific abbreviations, and varying document structures are common. This paper explores strategies for adapting these models to domain-specific requirements, primarily through continuous pre-training on domain-specific data. We pre-trained several German …

abstract advances arxiv bert biomedical clinical cs.ai cs.cl cs.lg datasets domains general german language language models language processing medicine natural natural language natural language processing nlp performance processing roberta struggle study text text understanding type understanding