Цель исследования - определить специфику понимания научного медицинского текста иностранными реципиентами, а также выявить причины некоторых затруднений при прочтении иностранными.

Medical vision-and-language pre-training provides a feasible solution to extract effective representations from medical images and texts. However, few studies have been dedicated this field facilitate understanding. In paper, we propose self-supervised learning paradigm with multi-modal masked autoencoders (M $$^3$$ AE), which learn cross-modal domain knowledge by reconstructing missing pixels ...

Abstract Biomedical communication is an area that increasingly benefits from natural language processing (NLP) work. named entity recognition (NER) in particular provides a foundation for advanced NLP applications, such as automated medical question-answering and translation services. However, while large body of biomedical documents are available array languages, most work NER remains English,...