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Strategies for Tailoring Patient-Centered Technologies Across the Cancer Continuum: Protocol for a Scoping Review. [PDF]

open access: yesJMIR Res Protoc
Tarver WL   +6 more
europepmc   +1 more source

E-RespiNet: An LLM-ELECTRA driven triple-stream CNN with feature fusion for asthma classification [PDF]

open access: yesPLoS One
Respiratory disease diagnosis remains challenging in resource-constrained settings, where limited specialist expertise contributes to diagnostic uncertainties affecting over 300 million people worldwide.
Mohammed Tawfik   +4 more
semanticscholar   +2 more sources
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Efficacy of ELECTRA-based Language Model in Sentiment Analysis

2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), 2023
Sentiment analysis (SA), a branch of natural language processing (NLP), aims to recognize and extract the feelings behind a piece of text or speech. SA assigns the text a favourable, neutral, or negative evaluation.
Mala J B, A. J., A. M., R. Rajan
semanticscholar   +1 more source

Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems

Interspeech, 2023
In this work, we propose a lightweight online approach to automatic punctuation restoration (APR), which can be utilized in speech transcription systems for, e.g., live captioning TV or radio streams. It uses only text input without prosodic features and
M. Polacek   +3 more
semanticscholar   +1 more source

Exploring Transformers models for Emotion Recognition: a comparision of BERT, DistilBERT, RoBERTa, XLNET and ELECTRA

International Conference on Control, Robotics and Intelligent System, 2022
This paper investigates the performance of different Transformers Models for Emotion Recognition, a specific NLU (Natural Language Understanding) task in Affective Computing.
Diogo Cortiz
semanticscholar   +1 more source

A Deep Dive into Electra: Transfer Learning for Fine-Grained Text Classification on SST-2

2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2023
In the dynamic landscape of Natural Language Processing (NLP), a transformative revolution is underway, marked by the rapid evolution and proliferation of pre-trained language models that have irrevocably reshaped the boundaries of text understanding and
Muhammad Fikriansyah   +2 more
semanticscholar   +1 more source

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