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[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4
KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
[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 …
The COVID-19 pandemic and changes in the level of contact between older parents and their non-coresident children: A European study
Objective: The present study aims to investigate changes in the frequency of parent-child
contact among Europeans aged 65 years and over within the context of the COVID-19 …
contact among Europeans aged 65 years and over within the context of the COVID-19 …
An analysis of entity normalization evaluation biases in specialized domains
Background Entity normalization is an important information extraction task which has
recently gained attention, particularly in the clinical/biomedical and life science domains. On …
recently gained attention, particularly in the clinical/biomedical and life science domains. On …
NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes
Accurate recognition and linking of oncologic entities in clinical notes is essential for
extracting insights across cancer research, patient care, clinical decision-making, and …
extracting insights across cancer research, patient care, clinical decision-making, and …
[HTML][HTML] Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users
Map** the pharmaceutically significant entities on natural language to standardized
terms/concepts is a key task in the development of the systems for pharmacovigilance …
terms/concepts is a key task in the development of the systems for pharmacovigilance …
Integrating higher-level semantics into robust biomedical name representations
Neural encoders of biomedical names are typically considered robust if representations can
be effectively exploited for various downstream NLP tasks. To achieve this, encoders need …
be effectively exploited for various downstream NLP tasks. To achieve this, encoders need …
Want to identify, extract and normalize adverse drug reactions in tweets? use roberta
KS Kalyan, S Sangeetha - ar** of Clinical Notes to Specific Clinical Concepts
J Ganesh - 2022 - search.proquest.com
A significant proportion of medical errors exist in crucial medical information, and most stem
from misinterpreting non-standardized clinical notes. Clinical Skills exam offered by the …
from misinterpreting non-standardized clinical notes. Clinical Skills exam offered by the …
More meaning than meets the eye. Robust and scalable applications of pre-trained representations for biomedical NLP
P Fivez - 2021 - repository.uantwerpen.be
Pre-trained distributional representations of words and phrases have become omnipresent
in natural language processing (NLP), where they have led to significant improvements in …
in natural language processing (NLP), where they have led to significant improvements in …