Multilingual Text Summarization in Healthcare Using Pre-Trained Transformer-Based Language Models

We analyze the suitability of existing pre-trained transformer-based language models (PLMs) for abstractive text summarization on German technical healthcare texts. The study focuses on the multilingual capabilities of these ... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.061527
Citations
1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.48
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article

Multilingual Text Summarization in Healthcare Using Pre-Trained Transformer-Based Language Models

Thomas Hanne, Thomas Nagy, Josua Käser, Patrick Stirnemann
1 citations
Computers, materials & continua/Computers, materials & continua (Print)
Topic Modeling
2.48
article

Multilingual Text Summarization in Healthcare Using Pre-Trained Transformer-Based Language Models

Thomas Hanne, Thomas Nagy, Josua Käser, Patrick Stirnemann
article en
1 citations

Abstract

We analyze the suitability of existing pre-trained transformer-based language models (PLMs) for abstractive text summarization on German technical healthcare texts. The study focuses on the multilingual capabilities of these ... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(1)
Quality Education
Openalex Percentile: Top 11%
Topic Modeling
2.48
DOIOpen Access PDFOpenAlex
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Multilingual Text Summarization in Healthcare Using Pre-Trained Transformer-Based Language Models — Thomas Hanne, Thomas Nagy, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS