原始
发表于 2025-3-26 22:03:26
Devulgarization of Polish Texts Using Pre-trained Language Modelseaning of the text. We fine-tune three pre-trained language models on a newly created parallel corpus of vulgar/non-vulgar sentence pairs, then we evaluate style transfer accuracy, content preservation and language quality. To the best of our knowledge, the proposed solution is the first of its kind for Polish.
paragon
发表于 2025-3-27 04:10:32
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俗艳
发表于 2025-3-27 09:00:19
Computational Science – ICCS 2022978-3-031-08754-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
离开就切除
发表于 2025-3-27 11:59:24
Sustainable Energy Consumption and Societyated into efficient code, since optimized linear algebra libraries and frameworks require expressions in index-free form. To address this problem, we developed ., a tool that automatically converts linear algebra expressions with indices into index-free linear algebra expressions that we map efficiently to NumPy and Eigen code.
一加就喷出
发表于 2025-3-27 15:04:09
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衰老
发表于 2025-3-27 19:49:25
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inveigh
发表于 2025-3-28 01:05:05
Experimental Demand Scheduler Validation,We developed and validated a language-agnostic method for sentiment analysis. Cross-language experiments carried out on the new MultiEmo dataset with texts in 11 languages proved that LaBSE embeddings with an additional attention layer implemented in the BiLSTM architecture outperformed other methods in most cases.
endocardium
发表于 2025-3-28 04:04:26
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pellagra
发表于 2025-3-28 08:56:30
https://doi.org/10.1007/978-3-031-08754-7artificial intelligence; classification methods; computer networks; computer systems; computer vision; co
Predigest
发表于 2025-3-28 10:37:27
978-3-031-08753-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl