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Polu-nadzoravan ugrađivanja rečenica

Polunadzorovani ugrađeni slojevi za rečenice kombiniraju mali skup označenih parova rečenica s velikim količinama neoznačenog teksta za treniranje gustih vektorskih prikaza rečenica. Iskorištavanjem obilnih neoznačenih podataka putem kontrastivnih ciljeva ili pseudo-označavanja, ovi modeli proizvode visokokvalitetne ugrađene slojeve za semantičku sličnost, dohvaćanje i klasifikaciju, čak i kada je označeni podatak oskudan.

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Izvori

  1. Gao, T., Yao, X., & Chen, D. (2021). SimCSE: Simple Contrastive Learning of Sentence Embeddings. In Proceedings of EMNLP 2021 (pp. 6894–6910). Association for Computational Linguistics. DOI: 10.18653/v1/2021.emnlp-main.552
  2. Reimers, N., & Gurevych, I. (2019). Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of EMNLP-IJCNLP 2019 (pp. 3982–3992). Association for Computational Linguistics. DOI: 10.18653/v1/D19-1410

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Semi-supervised Sentence Embeddings (Contrastive and Self-training Approaches). ScholarGate. https://scholargate.app/hr/deep-learning/semi-supervised-sentence-embeddings

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Citirana u

ScholarGateSemi-supervised Sentence Embeddings (Semi-supervised Sentence Embeddings (Contrastive and Self-training Approaches)). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/semi-supervised-sentence-embeddings · Skup podataka: https://doi.org/10.5281/zenodo.20539026