Language Resources in Spanish for Automatic Text Simplification across Domains
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Abstract (arXiv)
This work describes the language resources and models developed for automatic simplification of Spanish texts in three domains: Finance, Medicine and History studies. We created several corpora in each domain, annotation and simplification guidelines, a lexicon of technical and simplified medical terms, datasets used in shared tasks for the financial domain, and two simplification tools. The methodology, resources and companion publications are shared publicly on the web-site: https://clara-nlp.uned.es/.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 52 references that are in the map. First posted on arXiv 30 Sep 2024.
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References · 7
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
- 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,102
- 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,035
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