Evolution of semantic similarity—a survey
Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …
research problems in the field of Natural Language Processing (NLP). The versatility of …
Transfer learning in biomedical natural language processing: an evaluation of BERT and ELMo on ten benchmarking datasets
Inspired by the success of the General Language Understanding Evaluation benchmark, we
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval
Motivation Information retrieval (IR) is essential in biomedical knowledge acquisition and
clinical decision support. While recent progress has shown that language model encoders …
clinical decision support. While recent progress has shown that language model encoders …
Neural natural language processing for unstructured data in electronic health records: a review
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
Are large language models ready for healthcare? a comparative study on clinical language understanding
Large language models (LLMs) have made significant progress in various domains,
including healthcare. However, the specialized nature of clinical language understanding …
including healthcare. However, the specialized nature of clinical language understanding …
[HTML][HTML] AMMU: a survey of transformer-based biomedical pretrained language models
Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …
natural language processing (NLP). These models combine the power of transformers …
BioELECTRA: pretrained biomedical text encoder using discriminators
Recent advancements in pretraining strategies in NLP have shown a significant
improvement in the performance of models on various text mining tasks. We apply 'replaced …
improvement in the performance of models on various text mining tasks. We apply 'replaced …