2024
DOI: 10.7717/peerj-cs.2222
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Natural language processing with transformers: a review

Abstract: Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the main architectures. This research presents transformer-based solutions for NLP tasks such as Bidirectional Encoder Representations from Transformers (BERT), and Generative Pre-Training (GPT) architectures. To achieve that, we conducted a step-by-step process in the review stra… Show more

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Cited by 17 publications

(4 citation statements)
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“…The real-time conditions and hardware specifications should be considered ( Alderson-Day and Fernyhough, 2015 ; Angrick et al, 2019 ). In the future, it would be interesting to investigate lightweight Transformer architectures or hardware accelerators (e.g., FPGA/edge AI devices) to enable deployment without accuracy compromise ( Birbaumer et al, 2008 ; Tucudean et al, 2024 ).…”
Section: Discussionmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…The real-time conditions and hardware specifications should be considered ( Alderson-Day and Fernyhough, 2015 ; Angrick et al, 2019 ). In the future, it would be interesting to investigate lightweight Transformer architectures or hardware accelerators (e.g., FPGA/edge AI devices) to enable deployment without accuracy compromise ( Birbaumer et al, 2008 ; Tucudean et al, 2024 ).…”
Section: Discussionmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…BERT is a Transformer-based technique for pre-training contextual word representations that enables state-of-the-art results across a wide range of NLP tasks ( 49 , 50 ). It includes two separate stages, pre-training and fine-tuning, which may develop general understandings from massive amounts of unlabeled data and then solve various applications with minimal task-specific architectural changes.…”
Section: Methodsmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…This capability makes transformers highly valuable in the development of personalized treatment plans and cancer prognosis assessment. Furthermore, transformers are revolutionizing various fields, particularly in generative tasks and reinforcement learning, due to their ability to model intricate patterns and relationships within data [ 73 ]. Transformers have demonstrated remarkable effectiveness and scalability, paving the way for next‐generation models that could provide deeper insights across various domains [ 74 ].…”
Section: Ai Foundations For Oncology: Beyond Algorithmsmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.