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Machine learningDeep learning / NLP / CV

Uainishaji wa BERT unaosaidiwa kwa nusu-msaada

Uainishaji wa BERT unaosaidiwa kwa nusu-msaada hurekebisha kiendelezi cha BERT kilichofunzwa awali kwa kutumia kundi dogo la mifano ya maandishi yenye lebo huku ikitumia kwa wakati mmoja idadi kubwa zaidi ya maandishi yasiyo na lebo — kupitia mafunzo ya uthabiti, uwekaji lebo bandia, au nyongeza ya data — ili kuzalisha viainishi vya ubora wa juu hata pale ambapo uwekaji lebo wa mikono ni adimu.

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Vyanzo

  1. Xie, Q., Dai, Z., Hovy, E., Luong, T., & Le, Q. (2020). Unsupervised Data Augmentation for Consistency Training. Advances in Neural Information Processing Systems (NeurIPS), 33, 27780–27792. link
  2. Chen, J., Yang, Z., & Yang, D. (2020). MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2147–2157. DOI: 10.18653/v1/2020.acl-main.194

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Semi-supervised BERT-based Text Classification. ScholarGate. https://scholargate.app/sw/deep-learning/semi-supervised-bert-based-classification

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Imerejelewa na

ScholarGateSemi-supervised BERT-based Classification (Semi-supervised BERT-based Text Classification). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/semi-supervised-bert-based-classification · Seti ya data: https://doi.org/10.5281/zenodo.20539026