Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …

Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …

There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …

Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

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 …

In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …

There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …

Transfer learning is a technique utilized in deep learning applications to transmit learned
inference to a different target domain. The approach is mainly to solve the problem of a few …

Large Language Models (LLMs) have become effective tools for natural language
processing and have been used in many different fields. This essay offers a succinct …